Artificial Intelligence for automotive: why you should care.
More information on that report at: https://www.i-micronews.com/produit/artificial-intelligence-computing-for-automotive-2019/
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/03/market-analysis-on-socs-for-imaging-vision-and-deep-learning-in-automotive-and-mobile-markets-a-presentation-from-yole-developpement/
For more information about edge AI and vision, please visit:
http://www.edge-ai-vision.com
John Lorenz, Market and Technology Analyst for Computing and Software at Yole Développement, delivers the presentation “Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive and Mobile Markets” at the Edge AI and Vision Alliance’s March 2020 Vision Industry and Technology Forum. Lorenz presents Yole Développement’s latest analysis on the evolution of SoCs for imaging, vision and deep learning.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
IoT BASED VEHICLE TRACKING AND TRAFFIC SURVIELLENCE SYSTEMjohn solomon j
ii
ABSTRACT GPS is one of the technologies that are used in a huge number of applications today. One of the applications is tracking your vehicle and keeps regular monitoring on them. This tracking system can inform you the location and route travelled by vehicle, and that information can be observed from any other remote location. It also includes the web application that provides you exact location of target and the exact speed the vehicle is moving which is used to generate bills for over speeding automatically. This system enables us to track target in any weather conditions. This system uses GPS and Zigbee technologies. This includes the hardware part which comprises of GPS, Zigbee, ATmega microcontroller and software part is used for interfacing all the required modules and a web application is also developed at the client side and visualize data from IoT. Main objective is to design a system that can be easily installed and to provide platform for further enhancement. KEYWORDS GPS, ZigBee, Tracking System, IoT
iii
LiDAR for Automotive and Industrial Applications 2019 by Yole DéveloppementYole Developpement
Is rationalization happening in the LiDAR market?
More information on: https://www.i-micronews.com/produit/lidar-for-automotive-and-industrial-applications-2019/
Sensors and Data Management for Autonomous Vehicles report 2015 by Yole Devel...Yole Developpement
Multiple sensing technologies will ensure many market opportunities for Tier 1 players, Tier 2 players, and newcomers alike
Sensor technologies are a driving force in making fully autonomous vehicles a reality. Automakers are racing to develop safe self-driving cars, but this race is a distance run more than a sprint, where multiple automation stages will imply multiple sensors. Ultrasonic sensors, radars, and multiple cameras systems are already embedded in high-end vehicles -- and within 10 years, they could also include long-range cameras, LIDAR, micro bolometer and accurate dead reckoning. These devices will work concurrently and each technology will support another to ensure codependency and avoid concerns. Even though sensors are only part of the puzzle, their market opportunities are promising.
For the full video of this presentation, please visit:
https://www.edge-ai-vision.com/2020/03/market-analysis-on-socs-for-imaging-vision-and-deep-learning-in-automotive-and-mobile-markets-a-presentation-from-yole-developpement/
For more information about edge AI and vision, please visit:
http://www.edge-ai-vision.com
John Lorenz, Market and Technology Analyst for Computing and Software at Yole Développement, delivers the presentation “Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive and Mobile Markets” at the Edge AI and Vision Alliance’s March 2020 Vision Industry and Technology Forum. Lorenz presents Yole Développement’s latest analysis on the evolution of SoCs for imaging, vision and deep learning.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
IoT BASED VEHICLE TRACKING AND TRAFFIC SURVIELLENCE SYSTEMjohn solomon j
ii
ABSTRACT GPS is one of the technologies that are used in a huge number of applications today. One of the applications is tracking your vehicle and keeps regular monitoring on them. This tracking system can inform you the location and route travelled by vehicle, and that information can be observed from any other remote location. It also includes the web application that provides you exact location of target and the exact speed the vehicle is moving which is used to generate bills for over speeding automatically. This system enables us to track target in any weather conditions. This system uses GPS and Zigbee technologies. This includes the hardware part which comprises of GPS, Zigbee, ATmega microcontroller and software part is used for interfacing all the required modules and a web application is also developed at the client side and visualize data from IoT. Main objective is to design a system that can be easily installed and to provide platform for further enhancement. KEYWORDS GPS, ZigBee, Tracking System, IoT
iii
LiDAR for Automotive and Industrial Applications 2019 by Yole DéveloppementYole Developpement
Is rationalization happening in the LiDAR market?
More information on: https://www.i-micronews.com/produit/lidar-for-automotive-and-industrial-applications-2019/
Sensors and Data Management for Autonomous Vehicles report 2015 by Yole Devel...Yole Developpement
Multiple sensing technologies will ensure many market opportunities for Tier 1 players, Tier 2 players, and newcomers alike
Sensor technologies are a driving force in making fully autonomous vehicles a reality. Automakers are racing to develop safe self-driving cars, but this race is a distance run more than a sprint, where multiple automation stages will imply multiple sensors. Ultrasonic sensors, radars, and multiple cameras systems are already embedded in high-end vehicles -- and within 10 years, they could also include long-range cameras, LIDAR, micro bolometer and accurate dead reckoning. These devices will work concurrently and each technology will support another to ensure codependency and avoid concerns. Even though sensors are only part of the puzzle, their market opportunities are promising.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-tschudi
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Yohann Tschudi, Technology and Market Analyst at Yole Développement, presents the "AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?" tutorial at the May 2019 Embedded Vision Summit.
Artificial intelligence is proliferating into numerous edge applications and disrupting numerous industries. Clearly this represents a huge opportunity for technology suppliers. But it can be difficult to discern exactly what form this opportunity will take. For example, will edge devices perform AI computation locally, or in the cloud? Will edge devices use separate chips for AI, or will AI processing engines be incorporated into the main processor SoCs already used in these devices?
In this talk, Tschudi answers these questions by presenting and explaining his firm's market data and forecasts for AI processors in mobile phones, drones, smart home devices and personal robots. He explains why there is a strong trend towards executing AI computation at the edge, and quantifies the opportunity for separate processor chips and on-chip accelerators that address visual and audio AI tasks.
Artificial Intelligence Computing for Consumer 2019 report by Yole Développem...Yole Developpement
While AI is a feature expected in smartphones, this fantastic technology has spread like wildfire to the smart home ecosystem and is profoundly impacting the semiconductor industry.
More information on https://www.i-micronews.com/products/artificial-intelligence-computing-for-consumer-2019/
Status of the Camera Module Industry 2019 – Focus on Wafer Level Optics repor...Yole Developpement
CMOS Camera Modules (CCM) have become a key sensor technology – what are the dynamics and strategies in this highly competitive market?
More information on: https://www.i-micronews.com/produit/status-of-the-camera-module-industry-2019-focus-on-wafer-level-optics/
Solutions for ADAS and AI data engineering using OpenPOWER/POWER systemsGanesan Narayanasamy
The ultimate goal of ADAS feature development is to make our roads safer and better suited for fully autonomous vehicles in the long run. Still, manufacturers and buyers shouldn’t underestimate the importance of ADAS for meeting current automotive challenges. The most significant impact of advanced driver assistance systems is in providing drivers with essential information and automating difficult and repetitive tasks. This increases safety for everyone on the road
Radar Technologies For Automotive 2018 report by Yole Développement Yole Developpement
How will radar sensor technology shape the cars of the future? Prepare for the automotive sensor industry’s golden age, in which radar will be increasingly viewed as a key technology for autonomous vehicles.
AUTOMOTIVE IS EXPERIENCING AN EXPLOSION OF NEW HIGH-TECH APPLICATIONS
Automatic emergency braking, adaptive cruise control, and lane-change assist are some examples of these new applications. Spurred by the New Car Assessment Program, OEMs are designing cars with numerous sensors that enable applications like these. And since most of these new applications are safety-related, the sensors must be highly accurate. This means very tight specifications for object detection and classification, as well as being ultra-reliable: operable in every weather condition, in poor lighting, near or far, and with a wide field of view. Radar technology is well-suited to fulfill most of these requirements. We say “most” because object classification is not currently possible with radar, but certain companies are moving quickly to unlock this capability in imaging radar.
Radar has an impressive technology roadmap allowing for huge resolution improvement as well as device miniaturization and cost reduction. Despite small growth (~3%) in global car sales until 2022, Yole Développement expects an average growth rate of 25% for radar module sales, and an average growth rate of 22% for radar chip sales over the next five years - with autonomous driving being the next long-term driver for radar technology growth.
More information on that report at http://www.i-micronews.com/reports.html
Status of the CMOS Image Sensor Industry 2017 - Report by Yole DeveloppementYole Developpement
New applications are transforming the market and technology playing field for CMOS image sensors
It’s ten years down the line from the initial Apple iPhone that started the smartphone era. Since then, CMOS imaging has benefited from huge market demand and a technology-driven environment, resulting in an $11.6B industry in 2016. Photography and video is the main application, which is totally transformed by new use cases, new devices and new technologies.
The mobile market is key for the CMOS image sensor (CIS) industry. Despite saturation in the number of handsets, the CIS market has been able to maintain a 10.5% compound annual growth rate (CAGR) for the 2016-2022 period due to the introduction of dual and 3D cameras. These additional cameras are changing the industry’s drivers from form factor and image quality to interactivity.
Penetration into higher added value markets such as automotive, security and medical shows that CIS products are transforming use cases across the board. CIS technology adoption allows greater automation levels at low cost, while using newly available computing architectures such as deep learning. The CMOS image sensor industry is currently in a virtuous circle where a new technology is providing true customer value.
Under this topic i have described about the autonomous cars, on which worlds top automobile and tech giants are working like google, ford, BMW, audi etc.
3D Imaging & Sensing 2018 Reports by Yole DeveloppementYole Developpement
The iPhone X initiated a trend. What happens next?
More information here: https://www.i-micronews.com/category-listing/product/p3d-imaging-sensing-2018.html
Future of Autonomous Vehicles
The dream of self-driving vehicles has been a long time coming. It is however now within reach and the pressure is on the deliver on the vision. With sustained technology development, increased investment and raising public awareness, there is enormous interest in the imminent mainstream use of autonomous vehicles on the streets.
Although approaches vary from around the world, policy makers and urban planners in leading locations are now seeking to collaborate more with manufacturers, mobility providers, tech suppliers, logistics operators in order to align regulation for testing and mass deployment. And it goes both ways.
The investments being made in autonomy have rapidly shifted from millions to billions, so unsurprisingly those public and private organisations that are providing the funds are keen to ensure that the ROI is credible. There is much to play for and, although there has been substantial progress over recent years, significant questions on safety, social impact, business models and performance are still unanswered.
The Future of Autonomous Vehicles project was undertaken to canvas the views of a wide range of experts from around the world in order to create a clearer, informed global perspective of how autonomy will evolve over the next decade. Beginning with a discussion with government officials just outside Shanghai in July 2018 and ending with leaders from across the US autonomous vehicle community in the hills above Silicon Valley in February of 2020, this project has covered a lot of ground. In all, eight workshops and six additional discussions have engaged with hundreds of different opinions, shared perspectives and built considered future pathways.
This report is a synthesis of many voices and opinions on the likely future of autonomous vehicles. We hope that is useful.
Full project details are available on the dedicated mini site www.futureautonomous.org
Sensors for robotic vehicles 2018 report by yole developpement i-micronewsYole Developpement
High end industrial sensors will win in the emerging robotic vehicle industry.
THE ROBOTIC VEHICLE SUPPLY CHAIN IS NOW STARTING
Announcements are piling up from companies like
Waymo, Uber, Lyft, Baidu and their automotive
manufacturing partners such as Fiat Chrysler
Automobiles, Mercedes, BMW and Renault-
Nissan. 2018 will most probably be the initial launch
year for robotic taxis in several cities around the
globe. The move has direct consequences for
technology providers in high-end sensing and
computing equipment. The vehicle count that we
can collect suggests several tens of thousands of
vehicles on the road worldwide before end of
2022. As far as we know, each robotic vehicle will
be equipped with a suite of sensors encompassing
Lidars, radars, cameras, Inertial Measurement
Units (IMUs) and Global Navigation Satellite
Systems (GNSS). The technology is ready and
the business models associated with autonomous
driving (AD) seem to match the average selling
prices for those sensors.
Paramount to the future of safety and autonomy, the automotive imaging market is at a key crossroads.
More information on https://www.i-micronews.com/products/imaging-for-automotive-2019/
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-tschudi
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Yohann Tschudi, Technology and Market Analyst at Yole Développement, presents the "AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?" tutorial at the May 2019 Embedded Vision Summit.
Artificial intelligence is proliferating into numerous edge applications and disrupting numerous industries. Clearly this represents a huge opportunity for technology suppliers. But it can be difficult to discern exactly what form this opportunity will take. For example, will edge devices perform AI computation locally, or in the cloud? Will edge devices use separate chips for AI, or will AI processing engines be incorporated into the main processor SoCs already used in these devices?
In this talk, Tschudi answers these questions by presenting and explaining his firm's market data and forecasts for AI processors in mobile phones, drones, smart home devices and personal robots. He explains why there is a strong trend towards executing AI computation at the edge, and quantifies the opportunity for separate processor chips and on-chip accelerators that address visual and audio AI tasks.
Artificial Intelligence Computing for Consumer 2019 report by Yole Développem...Yole Developpement
While AI is a feature expected in smartphones, this fantastic technology has spread like wildfire to the smart home ecosystem and is profoundly impacting the semiconductor industry.
More information on https://www.i-micronews.com/products/artificial-intelligence-computing-for-consumer-2019/
Status of the Camera Module Industry 2019 – Focus on Wafer Level Optics repor...Yole Developpement
CMOS Camera Modules (CCM) have become a key sensor technology – what are the dynamics and strategies in this highly competitive market?
More information on: https://www.i-micronews.com/produit/status-of-the-camera-module-industry-2019-focus-on-wafer-level-optics/
Solutions for ADAS and AI data engineering using OpenPOWER/POWER systemsGanesan Narayanasamy
The ultimate goal of ADAS feature development is to make our roads safer and better suited for fully autonomous vehicles in the long run. Still, manufacturers and buyers shouldn’t underestimate the importance of ADAS for meeting current automotive challenges. The most significant impact of advanced driver assistance systems is in providing drivers with essential information and automating difficult and repetitive tasks. This increases safety for everyone on the road
Radar Technologies For Automotive 2018 report by Yole Développement Yole Developpement
How will radar sensor technology shape the cars of the future? Prepare for the automotive sensor industry’s golden age, in which radar will be increasingly viewed as a key technology for autonomous vehicles.
AUTOMOTIVE IS EXPERIENCING AN EXPLOSION OF NEW HIGH-TECH APPLICATIONS
Automatic emergency braking, adaptive cruise control, and lane-change assist are some examples of these new applications. Spurred by the New Car Assessment Program, OEMs are designing cars with numerous sensors that enable applications like these. And since most of these new applications are safety-related, the sensors must be highly accurate. This means very tight specifications for object detection and classification, as well as being ultra-reliable: operable in every weather condition, in poor lighting, near or far, and with a wide field of view. Radar technology is well-suited to fulfill most of these requirements. We say “most” because object classification is not currently possible with radar, but certain companies are moving quickly to unlock this capability in imaging radar.
Radar has an impressive technology roadmap allowing for huge resolution improvement as well as device miniaturization and cost reduction. Despite small growth (~3%) in global car sales until 2022, Yole Développement expects an average growth rate of 25% for radar module sales, and an average growth rate of 22% for radar chip sales over the next five years - with autonomous driving being the next long-term driver for radar technology growth.
More information on that report at http://www.i-micronews.com/reports.html
Status of the CMOS Image Sensor Industry 2017 - Report by Yole DeveloppementYole Developpement
New applications are transforming the market and technology playing field for CMOS image sensors
It’s ten years down the line from the initial Apple iPhone that started the smartphone era. Since then, CMOS imaging has benefited from huge market demand and a technology-driven environment, resulting in an $11.6B industry in 2016. Photography and video is the main application, which is totally transformed by new use cases, new devices and new technologies.
The mobile market is key for the CMOS image sensor (CIS) industry. Despite saturation in the number of handsets, the CIS market has been able to maintain a 10.5% compound annual growth rate (CAGR) for the 2016-2022 period due to the introduction of dual and 3D cameras. These additional cameras are changing the industry’s drivers from form factor and image quality to interactivity.
Penetration into higher added value markets such as automotive, security and medical shows that CIS products are transforming use cases across the board. CIS technology adoption allows greater automation levels at low cost, while using newly available computing architectures such as deep learning. The CMOS image sensor industry is currently in a virtuous circle where a new technology is providing true customer value.
Under this topic i have described about the autonomous cars, on which worlds top automobile and tech giants are working like google, ford, BMW, audi etc.
3D Imaging & Sensing 2018 Reports by Yole DeveloppementYole Developpement
The iPhone X initiated a trend. What happens next?
More information here: https://www.i-micronews.com/category-listing/product/p3d-imaging-sensing-2018.html
Future of Autonomous Vehicles
The dream of self-driving vehicles has been a long time coming. It is however now within reach and the pressure is on the deliver on the vision. With sustained technology development, increased investment and raising public awareness, there is enormous interest in the imminent mainstream use of autonomous vehicles on the streets.
Although approaches vary from around the world, policy makers and urban planners in leading locations are now seeking to collaborate more with manufacturers, mobility providers, tech suppliers, logistics operators in order to align regulation for testing and mass deployment. And it goes both ways.
The investments being made in autonomy have rapidly shifted from millions to billions, so unsurprisingly those public and private organisations that are providing the funds are keen to ensure that the ROI is credible. There is much to play for and, although there has been substantial progress over recent years, significant questions on safety, social impact, business models and performance are still unanswered.
The Future of Autonomous Vehicles project was undertaken to canvas the views of a wide range of experts from around the world in order to create a clearer, informed global perspective of how autonomy will evolve over the next decade. Beginning with a discussion with government officials just outside Shanghai in July 2018 and ending with leaders from across the US autonomous vehicle community in the hills above Silicon Valley in February of 2020, this project has covered a lot of ground. In all, eight workshops and six additional discussions have engaged with hundreds of different opinions, shared perspectives and built considered future pathways.
This report is a synthesis of many voices and opinions on the likely future of autonomous vehicles. We hope that is useful.
Full project details are available on the dedicated mini site www.futureautonomous.org
Sensors for robotic vehicles 2018 report by yole developpement i-micronewsYole Developpement
High end industrial sensors will win in the emerging robotic vehicle industry.
THE ROBOTIC VEHICLE SUPPLY CHAIN IS NOW STARTING
Announcements are piling up from companies like
Waymo, Uber, Lyft, Baidu and their automotive
manufacturing partners such as Fiat Chrysler
Automobiles, Mercedes, BMW and Renault-
Nissan. 2018 will most probably be the initial launch
year for robotic taxis in several cities around the
globe. The move has direct consequences for
technology providers in high-end sensing and
computing equipment. The vehicle count that we
can collect suggests several tens of thousands of
vehicles on the road worldwide before end of
2022. As far as we know, each robotic vehicle will
be equipped with a suite of sensors encompassing
Lidars, radars, cameras, Inertial Measurement
Units (IMUs) and Global Navigation Satellite
Systems (GNSS). The technology is ready and
the business models associated with autonomous
driving (AD) seem to match the average selling
prices for those sensors.
Paramount to the future of safety and autonomy, the automotive imaging market is at a key crossroads.
More information on https://www.i-micronews.com/products/imaging-for-automotive-2019/
The one million robotic vehicle milestone will be reached by end of the decade: The industrial phase has been launched.
More information on: https://www.i-micronews.com/products/sensors-for-robotic-mobility-2020/
MEMS and Sensors for Automotive 2017 Report by Yole Developpement Yole Developpement
How will sensor technology shape the cars of the future? We are only at the very beginning of a bright future for sensor providers – be prepared for the golden age of the automotive sensor industry.
THE REBORN AUTOMOTIVE SENSOR MARKET WILL BE WORTH MORE THAN $20B BY 2022
In a global automotive market worth than US$2.3T, the little world of automotive sensors has recently been shaken up by the emergence of electric and autonomous cars. Despite just 3% growth in the volume of cars sold expected through to 2022, Yole Développement (Yole) expects an average growth rate in sensors sales volumes above 8% over the next five years, and above 14% growth in sales value. This is thanks to the expanding integration of high value sensing modules like RADAR, imaging and LiDAR. The current automotive sensing market groups MEMS and classic active sensors such as pressure, tire pressure monitoring systems (TPMS), chemical, inertial, magnetic, ultrasonic, imaging, RADAR and LiDAR. We estimate that this market is worth US$11B in 2016 and is expected to reach US$23B by 2022. This is mainly due to the boom in imaging, RADAR and LiDAR sensors, which will respectively be worth US$7.7B, US$6.2B and US$1.4B by 2022. Among classical sensors like pressure, chemical and magnetic sensors, the impact of electric vehicles will remain small in the short term. However, the advent of electrical vehicles will greatly change the amount and the distribution of pressure and magnetic sensors within the car in the longer term. More electric cars will mean fewer pressure sensors and a surge in magnetic sensors for battery monitoring and various positioning and detection of moving pieces. Finally, we believe that the automotive world is experiencing one of the fastest-changing eras in its evolution ever. Sensor suppliers are now engaged in a race where they need to be prepared for the golden age of the automotive world.
This report describes the applications, technologies, and players associated with the automotive sensor market’s impending changes.
More information on that report at http://www.i-micronews.com/reports.html
Imaging Technologies for Automotive 2016 Report by Yole Developpement Yole Developpement
Imaging technology, which is currently mainly cameras, is exploding into the automotive space, and is set to grow at 20% CAGR to reach $7.3B in 2021
INFOTAINMENT AND ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) PROPEL AUTOMOTIVE IMAGING
Since 2008, when a recession acted as a wakeup call to the whole industry, the automotive market has undergone obvious structural change. Capitalizing on technologies initially developed for smartphones, electronics have invaded, and imaging technology is now taking center stage. From less than one camera per car on average in 2015, there will be more than three cameras per car by 2021, which means 371 million automotive imaging devices.
Cameras were initially mounted for ADAS purposes on high-end vehicles, with deep learning image analysis techniques promoting early adoption. The Israeli company Mobileye has been instrumental in bringing this technology to market, along with On Semiconductor, which provided the CMOS image sensor. Copycat competition will probably pick up as the market now justifies initial investment in design and technology. It is now a well-established fact that vision-based autonomous emergency braking (AEB) is possible and saves life. Adoption of forward ADAS cameras will therefore accelerate.
Growth of imaging for automotive is also being fueled by the park assist application, and 360° surround view camera volume is skyrocketing. While it’s becoming mandatory in the US to have a rearview camera, that uptake is dwarfed by 360° surround view cameras, which enable a “bird’s eye view” perspective. This trend is most beneficial to companies like Omnivision at sensor level and Panasonic and Valeo, which have become the main manufacturers of automotive cameras.
Mirror replacement cameras are currently the big unknown and take-off will primarily depend on its appeal and car design regulation. Europe and Japan are at the forefront of this trend, which should become slightly significant by 2021.
Solid state lidar is well talked about and will start to be found in high end cars by 2021. Cost reduction will be a key driver as the push for semi-autonomous driving will be felt more strongly by car manufacturers. The report will analyse the impact of lidar for automotive vision in detail.
Night vision cameras using Long Wave Infrared (LWIR) technology were initially perceived as a status symbol. However, they’re increasingly appreciated for their ability to automatically detect pedestrians and wildlife. LWIR will therefore become integrated into ADAS systems in future.
3D cameras will be limited to in-cabin infotainment and driver monitoring. This technology will be key for luxury cars and therefore is of limited use today.
If any significant semi-autonomous trend picks up, the technology will probably become mandatory, due to safety issues.
More information on that report at http://www.i-micronews.com/reports.html
How will AI impact the semiconductor market through consumer applications?
More information on that report at : https://www.i-micronews.com/report/product/hardware-and-software-for-ai-2018-consumer-focus.html
The 10 most advanced automotive tech companies of 2020Mirror Review
Our latest magazine, “The 10 Most Advanced Automotive Tech Companies of 2020,” features the advanced automotive tech companies that are bringing new technologies and solutions to
transform the industry. These companies are delivering different solutions, but their key aim is to reshape the world.
Machine Vision for Industry and Automation 2018 Report by Yole DeveloppementYole Developpement
Machine vision is at the heart of the automation revolution.
More information on that report at https://www.i-micronews.com/report/product/machine-vision-for-industry-and-automation-2018.html
Market Research Future has published a Research Report on Automotive Digital Cockpit Market. This Report Covers the Top Countries and Regions of the World, Including Market Share, Size, Trends, Growth, Revenue and much more across the globe.
Trends in Automotive Packaging 2018 by Yole DéveloppementYole Developpement
OSATs are gaining benefits from advanced packaging in automotive.
More information on that report at : https://www.i-micronews.com/report/product/trends-in-automotive-packaging-2018.html
Women Edition: 5. World Automotive ConferenceErsin KARA
worldautomotiveconference.co.uk
Existence of women in an industry is the thing that makes the organization holistic and the work flawless. Recent studies on gender diversity say that there is a positive correlation between the presence of women in corporate leadership and performance in a magnitude that is not small. Companies, that understand that it is not a positive discrimination but an indispensable necessity to achieve diversity, and reserve seats for women from top to bottom positions, are the ones which climb the ladder in competition more quickly.
Although women hold only 30% of the entry-level roles in technology related positions, it is getting better by the day. As for the automotive industry, women participation in European Union in manufacture of motor vehicles, trailers and semi-trailers is less than 25% while they are only about one fourth in
US automotive industry despite the astonishing fact that nearly two thirds (65%) of new car buyers are women. Rates are almost the same in white-collar segment of Turkish automotive industry as well.
To welcome and thank for their existence in the World Automotive Conference 2018, we dedicate this month’s WAC Bulletin to existing and future women participants of the industry.
To understand how women see and manage the industry’s transformation, how they adapt to the changing world, and face challenges during the transition, we conducted interviews with some of the ladies who will participate in WAC 2018 conference as speakers. Their perspective also showed us that enormous change has only began and it has way to go within a fiercely competitive environment.
Hope you enjoy each of these valuable thoughts and insights,
Not all of the speakers were able to participate in the Bulletin and we will share their views in the upcoming issues.
The inaugural World Automotive Conference 2018 proudly hosts global leaders of industry from all over the world in October while we invite ladies to Women’ Breakfast to be held in October 5th at 8:00 a.m. Though we want to enjoy the conference with as much ladies as possible, we have limited number of seats available for the breakfast, hence it will be first 50 ladies that register to WAC will be able to gain a seat.
"The concept of autonomous driving cars are largely dependent on Internet of Things. This is due to the reason that this technology could be enabled only with the help of IoT. We can say that IoT will increase the connectivity between vehicles and together with AI solutions will further enhance the choices for buyers with providing all information regarding their preferences while buying and using the vehicle. I see these advantages below -With the help of IoT, vehicles will get more connected to the other stakeholders in the transportation and so more usage- based services will be provided. We see first products in insurance sector or aftersales business"
Accenture's Automotive Technology Vision 2019 explores es a look at the "post-digital" technologies (DARQ) that power new innovations in the post-digital future in the automotive industry. Read more.
Digital disruption and the future of the automotive industryPeter Tutty
Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry.
Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive.
What is going to happen next and how to respond? Download the report or explore the infographic, below.
Digital disruption and the future of the automotive industryPeter Tutty
Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry.
Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive.
What is going to happen next and how to respond? Download the report or explore the infographic, below.
Microphones, Microspeakers and Audio Solutions Market and Technology Trends 2019Yole Developpement
The voice-based world is shaking up the audio industry, making it worth $20.8B in 2024.
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2. 2
TABLE OF CONTENTS
o REPORT OBJECTIVES & METHODOLOGY 4
o EXECUTIVE SUMMARY 12
1 – INTRODUCTION 35
2 – MARKET & TECHNOLOGY TRENDS 51
o Autonomous cars
• Focus on ADAS
• Focus on Robotic vehicles
o Infotainment
• Focus on Gesture recognition
• Focus on Speech recognition
3 – MARKET FORECASTS 124
o Autonomous cars
• Total AI-related computing hardware market revenue per application
forecast 2018-2028
• Total AI-related computing hardware market revenue per level of
autonomy forecast 2018-2028
• ADAS & AD vehicles shipment forecast 2018-2028
• Average selling price assumptions of computing hardware for ADAS
vehicles
• ADAS computing hardware average selling price assumptions forecast
2018-2028
• Central computing for robotic vehicles average selling price forecast 2018-
2028
• Autonomous cars computing hardware market revenue in $M per level of
autonomy forecast 2018-2028
• Autonomous cars imaging-related computing hardware market revenue in
$M per level of autonomy forecast 2018-2028
• AI penetration rate for imaging and fusion computing
• Autonomous cars AI-related computing hardware market revenue in $M
per level of autonomy
• Autonomous cars imaging-related computing hardware market revenue in
$M per level of autonomy forecast 2018-2028
• AI penetration rate for imaging and fusion computing
• Autonomous cars AI-related computing hardware market revenue in $M
per level of autonomy
o Infotainment
• Average selling price assumptions of hardware & software
• Gesture and speech recognition revenues
• Gesture recognition penetration rate per level of autonomy
• Speech recognition penetration rate per level of autonomy
4 – ECOSYSTEMS 141
o Autonomous cars
o Infotainment
5 – INVESTMENTS 182
6 – ALGORITHMS REVIEW 187
o AI algorithms for imaging
o AI algorithms for audio
7 – CONCLUSIONS 206
6. 6
WHO SHOULD BE INTERESTED IN THIS REPORT?
IC manufacturers and vendors, and IP sellers:
o Evaluate the market potential of future technologies
and products for new applicative markets
o Screen potential new suppliers for introducing new
disruptive technologies
o Monitor and benchmark your competitors’
advancements
Sensors and AI-related companies:
o Spot new technologies and define diversification
strategies
o Position your company in the ecosystem
Technology suppliers:
o Understand the strategies of big players and start-
ups
Equipment and materials manufacturers:
o Comprehend ecosystem dynamics
o Realize the differentiated value of your products and
technologies in this market
o Identify new business opportunities and prospects
Tier1 and OEMs:
o Analyze the benefits of using these new technologies in
your end-system
o Filter and select new suppliers
Financial and strategic investors:
o Grasp the potential of technologies and markets
o Acquaint yourself with key emerging companies and
start-ups
25. Artificial Intelligence (AI) is slowly but surely
invading more and more markets, and thus the daily
movements of each one. Yole Développement's
(Yole) AI Computing for Automotive 2019 report
describes AI’s impact on the automotive ecosystem
through autonomous cars and infotainment
applications/systems.
On the autonomy side, two trends are moving in
parallel: on one hand, the classic Original Equipment
Manufacturers with the addition of functionalities
(including deep learning algorithms for object
recognition) that facilitate an increase in advanced
driver-assistance systems (ADAS) levels; and on
the other hand, startups and tech giants offering
services based on robotic vehicles, i.e. shuttles
and robo-taxis. These different applications and
systems have rapidly surrounded themselves with
rich, diversified ecosystems, particularly in terms
of sensors and computing. In the ADAS ecosystem,
we find classic OEMs like GM, Ford, Toyota, BMW,
Audi, and Mercedes, and new players such as Tesla
and Nio. On the robotic vehicles side, tech giants
including Google (Waymo), Uber, Yantex, Baidu,
and Apple will offer the first robo-taxi services in
targeted cities this year, surrounded by startups
that also offer Maas (Mobility-as-a-service).
Regarding robotic shuttle, bus, and commercial
vehicle, we find an array of startups such as Navya,
EasyMile, and Drive.ai offering transport services
for people or goods in closed environments and
at low-speed. Tier-1s like Continental are also
investing in this promising market. Regarding the
usual automotive market, we could expect the
first level 2+ and level 3 ADAS cars (with AI-based
autonomy) to arrive this year.
Computing has also grown enormously around
majorplayerslikeIntelanditsMobileyeproduct,and
NVIDIA with its Xavier GPU, which now includes
units designed specifically for the calculation of
deep-learning algorithms. Other solutions offered
in dedicated products from Renesas, Xilinx, and
Kalray also show much potential. The segmentation
by activity - Focus on USA illustration describes
these players’ landscape and activity.
AI enters the fray with speech and gesture-
recognition technologies. Smart-home giants Google
and Amazon are now in cars with their well-known
speech recognition solutions "Ok, Google!” and
“Alexa”, respectively. And Google goes even further
by integrating its Android operating system. In terms
of gesture recognition, Sony Softkinetic plays a central
role with OEMs in developing these solutions.
On the computing side, the players are not much
different from those in autonomous driving,
because it is necessary to develop powerful,
power-consuming, adapted solutions for these
specific application types.
ARTIFICIAL INTELLIGENCE COMPUTING FOR AUTOMOTIVE
Market & Technology report - February 2019
Artificial Intelligence for automotive: why you should care.
KEY FEATURES
• Artificial Intelligence (AI)
technologies used in automotive
• Cloud computing and edge
computing for AI
• Types of hardware for advanced
driver-assistance systems (ADAS),
robotic vehicles, and infotainment
• Ecosystems, market forecast, and
trends
• AI software design and players’
strategies
OBJECTIVES OF THE REPORT
• Provide a scenario for AI within
the dynamics of the autonomous
automotive market, and
understand AI’s impact on the
semiconductor industry:
- Hardware for AI - Revenue
forecast, volume shipments
forecast
- Systems - Applications service
providers forecast, revenue
forecast, volume shipments
forecast
- Focus on autonomous automotive
• Offer an in-depth understanding of
the ecosystem and players:
- Who are the players? What
are the relationships inside this
ecosystem? Who will win the
“autonomous battle”?
- Who are the key suppliers to
watch, and what technologies do
they provide?
• Deliver key technical insight
analysis regarding future
technology trends and challenges:
- Key technology choices
- Technology dynamics
- Emerging technologies and
roadmaps
(Yole Développement, February 2019)
THE EXPECTED REVOLUTION
In 2018, only robotic vehicles could claim to
possess in-car AI. The associated computing
market, driven by computers equivalent to what
is found in datacenters and associated with rather
low volumes, brought the computing market to
$156M in 2018. Over the next 10 years, with
the development of robo-taxis and shuttles, this
market will remain the main revenue generator
for AI in automotive, with $9B in total computing
revenue expected in 2028.
Segmentation by activity* - Focus on USA**
ARTIFICIAL INTELLIGENCE SHORTENS THE PATH TO AUTONOMY AND
BRINGS THE HOME INTO THE CAR
VP***/Fusion
FPGA
IP
Algorithms
Hardware
Software
* Non-exhaustive list of companies - ** All main geographic areas are presented in the report - *** VP= Vision Processor
26. ARTIFICIAL INTELLIGENCE COMPUTING FOR AUTOMOTIVE 2019
Value chain interactions*
(Yole Développement, February 2019)
WHERE ARE WE TODAY, AND WHERE ARE WE GOING?
The stakes are high: the first company to be on the
road with a mature technology in terms of security,
autonomy, and service features will inevitably take
the bulk of the market. Today, Google Waymo has
a considerable lead technologically and at the service
level – its first cars are already on the road, and a
handful of users are already enjoying its services. On
the ADAS side, Audi launches its first level 3 this year
(the 2019 Audi A8), while behind Audi the majority
of OEMs are offering level 2+ features and planning
to release their high-end Level 3 models this year
and next. For security and marketing reasons, some
OEMs, i.e. Ford, Volvo, and Toyota, have decided to
attack directly Level 4 skipping Level 3, with results
expected around 2025.
Specific to infotainment, there are only a few players
right now. Sony Softkinetic leads the pack for gesture
recognition, and Google, with its vast experience,
In 2019, the first cars qualified as “ADAS level 3” will
hit the road, and AI will enter ADAS level 2 cars,
replacing conventional computer-vision algorithms.
Yole expects a $63M computing market for ADAS in
2019, reaching almost $3.7B in 2028. For infotainment,
AI is already present in high-end BMW, Volvo, and
Mercedes models as an option involving relatively
low volumes. Also, embedded in-car computing
remains quite inexpensive because the computing is
done in the Cloud. However, as for the smart-home
market, there is a willingness to bring intelligence to
the Edge, implying the need to create powerful, more
expensive computing. Yole foresees a fairly strong
increase in infotainment computing revenue, rising
from $18M in 2018 to $768M in 2028.
All AI-related computing is literally exploding, with
total expected 2028 revenue increasing to almost
$14B at a 50% CAGR2018-2028.
2018-2028 revenues breakdown per market
(Yole Développement, February 2019)
Artificial
Intelligence
software
Hardware
Sensors
Data
treatment
analysis
Tier 1s
OEMs Service providers
*Non-exhaustive list of companies
$18.5M
*CAGR2018-2028
+49%
2018
$174M
2028
$13 800M
$9 400M
*CAGR: Compound Annual Growth Rate
$155M
$0
$3 700M
$770 M
Robotic vehicles
Infotainment
Advanced driver-assistance
systems (ADAS) vehicles
27. MARKET TECHNOLOGY REPORT
COMPANIES CITED IN THE REPORT (non exhaustive list)
Alphabet, Algolux, Amazon, AMD, Apple, ARM, Baidu, Bosch, BMW, Continental, Delphi,
Eyesight Faurecia, Ford, General Motors, Google, Infineon, Intel, Intel Mobileye, Kalray, Lyft,
Melexis, Mercedes-Benz, Microship, Microsoft, Nio, Nissan, Nuance, NVIDIA, NXP, Parrot, PSA,
Qualcomm, Renesas, Samsung, Sony Softkinetic, STMicroelectronics, Tesla, Texas Instruments,
Toshiba, Toyota, Uber, Valeo, Videantis, Volkswagen, Volvo, Waymo, Xilinx, and many more...
Find more
details about
this report here:
RELATED REPORTS
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leverages its innovative technologies in the
speech recognition segment.
On the computing side, two giants appear to be
leading the race: Intel Mobileye for the ADAS
market, and NVIDIA for the robotic vehicles
market. These companies’ solutions are powerful
and they also offer extremely powerful software
and software stacks dedicated to processing AI
and computer vision algorithms and adapted to
the automotive ecosystem. However, thanks to
a slower cycle in the automotive world, other
competitors like Renesas and Xilinx are close
behind.
The value chain interactions figure shows
these players’ position in the value chain, their
leadership, and their relationships.
The autonomous driving revolution is fast-paced
and road-worthy, but also full of obstacles. The
stakes are huge, with the prize being access to a
market in the tens of billions of dollars. AI and its
associated computing fields will play the crucial
role of catalyst for companies wishing to access
this market.
When all is said and done, will Sony, Intel, and
Mobileye still lead? Are expectations reasonable?
And most importantly, what does the future hold
for AI in automotive?
• Hardware Software for AI 2018 – Consumer
focus
• From Image Processing to Deep Learning,
Introduction to Hardware and Software 2017
• Sensors for Robotics Vehicles 2018
Find all our reports on www.i-micronews.com
Dr. Yohann Tschudi
is a member of the
Semiconductor and
Software division at Yole Développement
(Yole). As a Software and Market Analyst,
Yohann works with his team to identify,
understand, and analyze the role of
software and computing parts within any
semiconductor product - from the machine
code to the highest level of algorithms.
Upon completing his thesis at CERN in
Geneva, Switzerland, Yohann developed
dedicated software for fluid mechanics and
thermodynamics applications. Afterwards,
he worked at the University of Miami
(Florida, United States) for two years as
an AI scientist. Yohann has a PhD in High-
Energy Physics and a master’s degree in
Physical Sciences from Claude Bernard
University in Lyon, France.
AUTHORS
Lauranne Chemisky
is a Technology and
Market Analyst for Yole
Développement’s Semiconductor and
Software team. Lauranne develops market
research reports and customized services
for Yole’s clients, leveraging her technology
training and experience in the fields of
materials and semiconductor manufacturing
processes for advanced packaging
applications. Previously, Lauranne worked
as a Material Development Engineer on the
Softgoods Product Design Team at Apple
(CA, USA). She holds a master’s degree in
Materials Science and Polymers from ITECH
and an M.Sc. in Technology and Innovation
Management from EMLyon Business School,
both in Lyon, France.
Report objectives methodology 4
Executive summary 12
Introduction 35
Market technology trends 51
Autonomous cars
- Focus on ADAS
- Focus on robotic vehicles
Infotainment
- Focus on gesture recognition
- Focus on speech recognition
Market forecasts 124
Autonomous cars
- Total AI-related computing hardware market
revenue, per application: 2018 - 2028 forecast
- Total AI-related computing hardware market
revenue, per autonomy level: 2018 - 2028
forecast
- ADAS AD vehicle shipments: 2018 - 2028
forecast
- Average selling price assumptions for
computing hardware in ADAS vehicles
- ADAS computing hardware: average selling
price assumptions, 2018 - 2028 forecast
- Central computing for robotic vehicles:
average selling price, 2018 - 2028 forecast
- Autonomous cars computing hardware
market: revenue in $M, per level of autonomy
- 2018 - 2028 forecast
- Autonomous cars imaging-related computing
hardware market: revenue in $M, per level of
autonomy - 2018 - 2028 forecast
- AI penetration rate for imaging and fusion
computing
- Autonomous cars AI-related computing
hardware market: revenue in $M, per level of
autonomy
- Autonomous cars imaging-related computing
hardware market: revenue in $M, per level of
autonomy - 2018 - 2028 forecast
- AI penetration rate for imaging and fusion
computing
- Autonomous cars AI-related computing
hardware market: revenue in $M, per level of
autonomy
Infotainment
- Average selling price assumptions for
hardware and software
- Gesture and speech-recognition revenue
- Gesture-recognition penetration rate, per
autonomy level
- Speech-recognition penetration rate, per
autonomy level
Ecosystems 141
Autonomous cars
Infotainment
Investments 182
Algorithms review 187
AI algorithms for imaging
AI algorithms for audio
Conclusions 206
TABLE OF CONTENTS (complete content on i-Micronews.com)
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Our Terms and Conditions of Sale are available at
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The present document is valid 24 months after its publishing date:
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Founded in 1998, Yole Développement has grown to become a group of companies providing marketing, technology and strategy consulting, media and
corporate finance services, reverse engineering and reverse costing services and well as IP and patent analysis. With a strong focus on emerging applications
using silicon and/or micro manufacturing, the Yole group of companies has expanded to include more than 80 collaborators worldwide covering MEMS and Image
Sensors, Compound Semiconductors, RF Electronics, Solid-state lighting, Displays, Software, Optoelectronics, Microfluidics Medical, Advanced Packaging,
Manufacturing, Nanomaterials, Power Electronics and Batteries Energy Management.
The “More than Moore” market research, technology and strategy consulting company Yole Développement, along with its partners System Plus Consulting,
PISEO and KnowMade, support industrial companies, investors and RD organizations worldwide to help them understand markets and follow technology
trends to grow their business.
CONSULTING AND ANALYSIS
• Market data research, marketing analysis
• Technology analysis
• Strategy consulting
• Reverse engineering costing
• Patent analysis
• Design and characterization of innovative optical systems
• Financial services (due diligence, MA with our partner)
More information on www.yole.fr
MEDIA EVENTS
• i-Micronews.com website related @Micronews e-newsletter
• Communication webcast services
• Events: TechDays, forums…
More information on www.i-Micronews.com
REPORTS
• Market technology reports
• Patent investigation and patent infringement risk analysis
• Structure, process and cost analysis
• Cost simulation tool
More information on www.i-micronews.com/reports
CONTACTS
For more information about :
• Consulting Financial Services: Jean-Christophe Eloy (eloy@yole.fr)
• Reports: David Jourdan (jourdan@yole.fr) Yole Group of Companies
• Press Relations Corporate Communication: Sandrine Leroy (leroy@yole.fr)