SlideShare una empresa de Scribd logo
1 de 26
Descargar para leer sin conexión
Smart Safety for
Commercial Vehicles
Artur Filipowicz
首席技术官
2018年 03月 15日
Safety First
Driving is dangerous and costly
Crashes in US:
- Total fatalities: 35,092 people (2015) [2]
- Total injuries: 2.44 million people (2015) [2]
- Estimated economic cost: $432.5 billion in 2016 [4]
Why?
Can we do better?
Reasons for Crashes
Data from [3]Data from [3]
The Way Forward: Smart Safety
Need to help drivers with recognition, decision and performance
Need to use Smart Sensors, Artificial Intelligence, V2X, X2V, and The Cloud
Need Smart Safety
Smart Safety
Example of Smart Safety working:
- Use of autopilot in Tesla cars has lead to a 39% decrease in crash rates [5]
- Autonomous cars in California had 26 collision between 2014 and 2017 [6]
Perception
Local View:
- radar
- camera
- lidar
- sonar
Global View:
- Internet Info (5G)
- V2X
- X2V
Control
AI for Motion Planning
AI for Path Planning
Controller:
- precise
- consistent
Management
AI for Perception
AI for Fusion
AI for Driver & Vehicle Monitoring
AI for Prediction of Situations
Reaction time: 0.1s
Human Safety vs. Smart Safety
Perception
- eyes
Control
- estimating
- depends on feelings
Management
Reaction time: 3s1
Human
Driving
Perception
- radar
- camera
- lidar
- more
Control
- precise
- consistent
Management
Reaction time: 0.1s
Smart
Driving
1
http://copradar.com/redlight/factors/IEA2000_ABS51.pdf
Smart Safety at Work in Passenger Vehicles (PV)
Technology Effect
Autopilot in Tesla Cars 39% decrease in crash rates [11]
Automatic Braking 40% decrease in rear-end crashes [12]
42% decrease in injuries in rear-end crashes [12]
Forward Collision Warning 23% decrease in crash rates [12]
Electronic Stability Control 15% to 17% decrease in overall collision losses [13]
Acura & Mercedes Autonomous Braking 14% decrease in claims [13]
Volvo's Autonomous Braking 10% decrease in crashes (not statistically significant) [13]
Adaptive Headlights 10% decrease in claims [13]
Buick & Mercedes Lane Departure Warning Increase in crashes (not statistically significant) [13]
Smart Safety at Work in Commercial Vehicles (CV)
Based on crashes in US from 2004-08, ADAS could prevent or mitigate ~107,000
crashes each year (28% of all crashes involving large trucks) [14, 15]
ADAS Technology All Injury Fatal
Lane Departure Warning 10,000 1,000 247
Electronic Stability Control 30,000 7,000 439
Forward Collision Warning 31,000 3,000 115
Side View Assist 39,000 2,000 79
Total Unique Crashes Addressed 107,000 12,000 835
Potential Crashes Avoided by ADAS [15]
Smart Safety at Work in Commercial Vehicles (CV)
In EU, 4,021 people were killed in collisions involving heavy vehicles (2013) [16]
European Commission estimates ADAS on heavy vehicles could save around
2,500 lives per year (62% of all fatalities) [16, 17]:
- 500 lives saved with ESC
- 1,000 lives saved with AEB
- 1,000 lives saved with LDW
No estimates for European buses, vans and light good vehicles [17]
Smart Brake
Making Basics Work for L3, L4
Crashes of autonomous and semi-autonomous vehicles
- Tesla Model S “Autopilot” crashes with turning truck in Williston, Florida 05/07/16 [9]
- Tesla Model S “Autopilot” crashes with a parked fire truck in Culver City, California 01/22/18 [10]
- Uber’s self-driving car kills pedestrian in Tempe, Arizona 03/19/18 [8]
- Tesla electric SUV “Autopilot” crashes with highway divider Mountain View, California 03/23/18 [7]
AEB doesn't seem to be helping [18, 19]
Crash with stationary object (avoiding false positives?) [18, 19]
Need better fundamental safety systems - even for L3, L4 applications
Smart Brake
Regular AEB
- Avoid collision by apply brake when possible obstacle collision detected
Smart Brake
- Minimize probability of crashing
- Minimum force braking: minΔt,Δv
F *Δt = m*Δv
- Actively learn brake performance
- Predict and avoid crashes in complex situations
Ingredients for Smart Brake
Sensors:
- Sonar
- Radar
- Camera
- Other Vehicles
- Infrastructure
Brake Controller
Data for AI models for: Perception, Management, Control
Smart Brake in Action
Radar
Brake
Controller
Management
Smart Brake
Camera
Sonar
Cloud
Perception
Radar
- Long and short range distance estimation
Vision
- Robust to weather conditions [1]
- Provides appearance information (color)
- Inexpensive
- Detection problems due to variation of appearances
Simulation
Can generate Big Data
Can generate Smart Data
Simulator
Perception - Princeton Simulation Research
Perception - BSD Car & Ped Detection
Perception - Vision & Radar Fusion
Management & Control
5 Dimensions of Safety
● Longitudinal Smart Safety Systems
○ FCW, EBS, RCW, RCA, ACC
● Lateral Smart Safety Systems
○ LDW, BSD, SCA, LKA, LCA, CBC
● Vertical Smart Safety Systems
○ ESC
● In-Vehicle Smart Safety Systems
○ Driver monitoring, vehicle failure prediction
● Cloud Smart Safety Systems
○ Driver reports, telematics, V2V, V2I, P2V
Foundation of autonomous features
Deep Defender
Smart Safety System
with Machine-Based
Driver Intelligence
From Deep Defender to Connected Future
The Cloud
Company Government
Police Academia
Intelligence by
References
[1] Chenyi Chen. Extracting Cognition out of Images for the Purpose of Autonomous Driving. PhD thesis, PRINCETON UNIVERSITY, 2016.
[2] National Highway Traffic Safety Administration et al. 2015 motor vehicle crashes: overview. Traffic safety facts research note, 2016:1–9, 2016.
[3] Santokh Singh. Critical reasons for crashes investigated in the national motor vehicle crash causation survey. Technical report, 2015.
[4] Statistics Department National Safety Council. Nsc motor vehicle fatality estimates.
http://www.nsc.org/NewsDocuments/2017/12-month-estimates.pdf, 2017. Accessed: 2017-2-26.
[5] Kareem Habib. Odi resume the automatic emergency braking. Technical report, 2017.
[6] CA DMV–Reports of Traffic Accidents Involving an Autonomous Vehicle–OL316 Available from
https://www.dmv.ca.gov/portal/dmv/detail/vr/autonomous/autonomousveh_ol316+
[7] https://www.theguardian.com/technology/2018/mar/31/tesla-car-crash-autopilot-mountain-view
[8] http://time.com/5205767/uber-autonomous-car-crash-arizona/
[9] http://time.com/4391175/tesla-crash-autopilot-driverless-cars/
[10] https://www.teslarati.com/tesla-model-s-firetruck-crash-details/
References
[11] Kareem Habib. Odi resume the automatic emergency braking. Technical report, 2017.
[12] Insurance Institute for Highway Safety and Highway Loss Data Institute. Crashes avoided front crash prevention slashes police-reported
rear-end crashes. Technical report, 2016.
[13]http://www.iihs.org/iihs/news/desktopnews/crash-avoidance-features-reduce-crashes-insurance-claims-study-shows-autonomous-braking-and-ad
aptive-headlights-yield-biggest-benefits
[14] http://www.iihs.org/iihs/topics/t/large-trucks/qanda
[15] http://www.iihs.org/media/d6a354e5-59f0-442d-8f04-1d0491be68d9/hmo_4g/Presentations/Lund%202014-05-12%20NAS.pdf
[16] https://ec.europa.eu/transport/road_safety/sites/roadsafety/files/ersosynthesis2016-vehiclesafety15_en.pdf
[17] https://www.sciencedirect.com/science/article/pii/S2352146516302344
[18] http://smartdrivingcar.com/6-17-newmode-041218/
[19] http://smartdrivingcar.com/6-16-comegetem-040418/

Más contenido relacionado

La actualidad más candente

Autonomous driving revolution- trends, challenges and machine learning 
Autonomous driving revolution- trends, challenges and machine learning  Autonomous driving revolution- trends, challenges and machine learning 
Autonomous driving revolution- trends, challenges and machine learning 
Junli Gu
 
Why consumers choose mobileye
Why consumers choose mobileyeWhy consumers choose mobileye
Why consumers choose mobileye
Mobileye
 
Designing Roads for AVs (autonomous vehicles)
Designing Roads for AVs (autonomous vehicles)Designing Roads for AVs (autonomous vehicles)
Designing Roads for AVs (autonomous vehicles)
Jeffrey Funk
 

La actualidad más candente (20)

Adrian Pearmine, DKS Associates - Connected & Autonomous Vehicles 101 (Octobe...
Adrian Pearmine, DKS Associates - Connected & Autonomous Vehicles 101 (Octobe...Adrian Pearmine, DKS Associates - Connected & Autonomous Vehicles 101 (Octobe...
Adrian Pearmine, DKS Associates - Connected & Autonomous Vehicles 101 (Octobe...
 
Ai powred transport
Ai powred transportAi powred transport
Ai powred transport
 
Autonomous driving revolution- trends, challenges and machine learning 
Autonomous driving revolution- trends, challenges and machine learning  Autonomous driving revolution- trends, challenges and machine learning 
Autonomous driving revolution- trends, challenges and machine learning 
 
The Autonomous Revolution of Vehicles & Transportation 6/12/19
The Autonomous Revolution of Vehicles & Transportation 6/12/19The Autonomous Revolution of Vehicles & Transportation 6/12/19
The Autonomous Revolution of Vehicles & Transportation 6/12/19
 
2017 Autonomous Vehicle Presentation Package
2017 Autonomous Vehicle Presentation Package 2017 Autonomous Vehicle Presentation Package
2017 Autonomous Vehicle Presentation Package
 
Connected and Automated Vehicles: Where Are We Going and What Happens When We...
Connected and Automated Vehicles: Where Are We Going and What Happens When We...Connected and Automated Vehicles: Where Are We Going and What Happens When We...
Connected and Automated Vehicles: Where Are We Going and What Happens When We...
 
Human Centered Vehicle Automation - Bryan Reimer
Human Centered Vehicle Automation - Bryan ReimerHuman Centered Vehicle Automation - Bryan Reimer
Human Centered Vehicle Automation - Bryan Reimer
 
Key Technologies for Autonomous Driving
Key Technologies for Autonomous DrivingKey Technologies for Autonomous Driving
Key Technologies for Autonomous Driving
 
Automated Driving Policies & the Consumer Perspective - Andre Seeck
Automated Driving Policies & the Consumer Perspective - Andre SeeckAutomated Driving Policies & the Consumer Perspective - Andre Seeck
Automated Driving Policies & the Consumer Perspective - Andre Seeck
 
Autonomous vehicles: becoming economically feasible through improvements in l...
Autonomous vehicles: becoming economically feasible through improvements in l...Autonomous vehicles: becoming economically feasible through improvements in l...
Autonomous vehicles: becoming economically feasible through improvements in l...
 
Automated Driving: Innovative Product Development & Safety
Automated Driving: Innovative Product Development & SafetyAutomated Driving: Innovative Product Development & Safety
Automated Driving: Innovative Product Development & Safety
 
Why consumers choose mobileye
Why consumers choose mobileyeWhy consumers choose mobileye
Why consumers choose mobileye
 
Frost & Sullivan Das Active Safety
Frost & Sullivan  Das Active SafetyFrost & Sullivan  Das Active Safety
Frost & Sullivan Das Active Safety
 
Connected and Autonomous Vehicles: The Enabling Technologies
Connected and Autonomous Vehicles: The Enabling TechnologiesConnected and Autonomous Vehicles: The Enabling Technologies
Connected and Autonomous Vehicles: The Enabling Technologies
 
Vehicle connectivity & the value add v1.1
Vehicle connectivity & the value add v1.1Vehicle connectivity & the value add v1.1
Vehicle connectivity & the value add v1.1
 
Connected Vehicle 101 - US Department of Transportation
Connected Vehicle 101 - US Department of TransportationConnected Vehicle 101 - US Department of Transportation
Connected Vehicle 101 - US Department of Transportation
 
The tricky road to autonomous cars
The tricky road to autonomous carsThe tricky road to autonomous cars
The tricky road to autonomous cars
 
Introduction to Connected Cars and Autonomous Vehicles
Introduction to Connected Cars and Autonomous VehiclesIntroduction to Connected Cars and Autonomous Vehicles
Introduction to Connected Cars and Autonomous Vehicles
 
Designing Roads for AVs (autonomous vehicles)
Designing Roads for AVs (autonomous vehicles)Designing Roads for AVs (autonomous vehicles)
Designing Roads for AVs (autonomous vehicles)
 
Connected Car Security
Connected Car SecurityConnected Car Security
Connected Car Security
 

Similar a Smart Safety for Commercial Vehicles (ENG)

20130319_CCC final report
20130319_CCC final report20130319_CCC final report
20130319_CCC final report
Malte Risto
 
NEC5-18- Brief Summary
NEC5-18- Brief SummaryNEC5-18- Brief Summary
NEC5-18- Brief Summary
Sandeep Kar
 

Similar a Smart Safety for Commercial Vehicles (ENG) (20)

Connected Vehicle Webinar for Training
Connected Vehicle Webinar for Training Connected Vehicle Webinar for Training
Connected Vehicle Webinar for Training
 
Connected & Driverless vehicles: the road to Safe & Secure mobility?
Connected & Driverless vehicles: the road to Safe & Secure mobility?Connected & Driverless vehicles: the road to Safe & Secure mobility?
Connected & Driverless vehicles: the road to Safe & Secure mobility?
 
Adaptive cruise control’
Adaptive cruise control’Adaptive cruise control’
Adaptive cruise control’
 
IRJET- Smart Vehicle with Crash Detection and Emergency Vehicle Dispatch with...
IRJET- Smart Vehicle with Crash Detection and Emergency Vehicle Dispatch with...IRJET- Smart Vehicle with Crash Detection and Emergency Vehicle Dispatch with...
IRJET- Smart Vehicle with Crash Detection and Emergency Vehicle Dispatch with...
 
Advanced Driver Assistance System using Vehicle to Vehicle Communication
Advanced Driver Assistance System using Vehicle to Vehicle CommunicationAdvanced Driver Assistance System using Vehicle to Vehicle Communication
Advanced Driver Assistance System using Vehicle to Vehicle Communication
 
Advanced Driver Assistance System using Vehicle to Vehicle Communication
Advanced Driver Assistance System using Vehicle to Vehicle CommunicationAdvanced Driver Assistance System using Vehicle to Vehicle Communication
Advanced Driver Assistance System using Vehicle to Vehicle Communication
 
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...
VEHICLE THEFT DETECTION WITH ALCOHOL DETECTION,SMOKE DETECTION AND FINGERPRIN...
 
20130319_CCC final report
20130319_CCC final report20130319_CCC final report
20130319_CCC final report
 
Future of intelligent transportation CIO Roundtable 080214
Future of intelligent transportation   CIO Roundtable 080214Future of intelligent transportation   CIO Roundtable 080214
Future of intelligent transportation CIO Roundtable 080214
 
IRJET- Automatic Vehicle Beam Control System
IRJET-  	  Automatic Vehicle Beam Control SystemIRJET-  	  Automatic Vehicle Beam Control System
IRJET- Automatic Vehicle Beam Control System
 
IRJET - Automobile Black Box System for Vehicle Accident Analysis
IRJET - Automobile Black Box System for Vehicle Accident AnalysisIRJET - Automobile Black Box System for Vehicle Accident Analysis
IRJET - Automobile Black Box System for Vehicle Accident Analysis
 
Smart Enabling Technologies for Automated Driving
Smart Enabling Technologies for Automated DrivingSmart Enabling Technologies for Automated Driving
Smart Enabling Technologies for Automated Driving
 
IRJET- Accident Detection and Vehicle Safety using Zigbee
IRJET-  	  Accident Detection and Vehicle Safety using ZigbeeIRJET-  	  Accident Detection and Vehicle Safety using Zigbee
IRJET- Accident Detection and Vehicle Safety using Zigbee
 
[EVENT IOT] MOTION-S
[EVENT IOT] MOTION-S[EVENT IOT] MOTION-S
[EVENT IOT] MOTION-S
 
Advance Vehicle Advanced Driver Assistance Systems: Working & Features ADAS A...
Advance Vehicle Advanced Driver Assistance Systems: Working & Features ADAS A...Advance Vehicle Advanced Driver Assistance Systems: Working & Features ADAS A...
Advance Vehicle Advanced Driver Assistance Systems: Working & Features ADAS A...
 
Intelligent transportation system
Intelligent transportation systemIntelligent transportation system
Intelligent transportation system
 
NEC5-18- Brief Summary
NEC5-18- Brief SummaryNEC5-18- Brief Summary
NEC5-18- Brief Summary
 
Inter vehicle communication
Inter vehicle communicationInter vehicle communication
Inter vehicle communication
 
The International Journal of Engineering and Science (IJES)
The International Journal of Engineering and Science (IJES)The International Journal of Engineering and Science (IJES)
The International Journal of Engineering and Science (IJES)
 
Autonomous vehicles
Autonomous vehiclesAutonomous vehicles
Autonomous vehicles
 

Más de Artur Filipowicz

Incorporating Learning Strategies in Training of Deep Neural Networks for Au...
Incorporating Learning Strategies in Training of Deep Neural  Networks for Au...Incorporating Learning Strategies in Training of Deep Neural  Networks for Au...
Incorporating Learning Strategies in Training of Deep Neural Networks for Au...
Artur Filipowicz
 
Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...
Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...
Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...
Artur Filipowicz
 
Video Games for Autonomous Driving
Video Games for Autonomous DrivingVideo Games for Autonomous Driving
Video Games for Autonomous Driving
Artur Filipowicz
 

Más de Artur Filipowicz (10)

Smart Safety for Commercial Vehicles (中文)
Smart Safety for Commercial Vehicles (中文)Smart Safety for Commercial Vehicles (中文)
Smart Safety for Commercial Vehicles (中文)
 
Incorporating Learning Strategies in Training of Deep Neural Networks for Au...
Incorporating Learning Strategies in Training of Deep Neural  Networks for Au...Incorporating Learning Strategies in Training of Deep Neural  Networks for Au...
Incorporating Learning Strategies in Training of Deep Neural Networks for Au...
 
Learning to Recognize Distance to Stop Signs Using the Virtual World of Grand...
Learning to Recognize Distance to Stop Signs Using the Virtual World of Grand...Learning to Recognize Distance to Stop Signs Using the Virtual World of Grand...
Learning to Recognize Distance to Stop Signs Using the Virtual World of Grand...
 
Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...
Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...
Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...
 
Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...
Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...
Virtual Environments as Driving Schools for Deep Learning Vision-Based Sensor...
 
Direct Perception for Congestion Scene Detection Using TensorFlow
Direct Perception for Congestion Scene Detection Using TensorFlowDirect Perception for Congestion Scene Detection Using TensorFlow
Direct Perception for Congestion Scene Detection Using TensorFlow
 
Learning to Recognize Distance to Stop Signs Using the Virtual World of Grand...
Learning to Recognize Distance to Stop Signs Using the Virtual World of Grand...Learning to Recognize Distance to Stop Signs Using the Virtual World of Grand...
Learning to Recognize Distance to Stop Signs Using the Virtual World of Grand...
 
Filtering of Frequency Components for Privacy Preserving Facial Recognition
Filtering of Frequency Components for Privacy Preserving Facial RecognitionFiltering of Frequency Components for Privacy Preserving Facial Recognition
Filtering of Frequency Components for Privacy Preserving Facial Recognition
 
Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning
Desensitized RDCA Subspaces for Compressive Privacy in Machine LearningDesensitized RDCA Subspaces for Compressive Privacy in Machine Learning
Desensitized RDCA Subspaces for Compressive Privacy in Machine Learning
 
Video Games for Autonomous Driving
Video Games for Autonomous DrivingVideo Games for Autonomous Driving
Video Games for Autonomous Driving
 

Último

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 

Smart Safety for Commercial Vehicles (ENG)

  • 1. Smart Safety for Commercial Vehicles Artur Filipowicz 首席技术官 2018年 03月 15日
  • 2. Safety First Driving is dangerous and costly Crashes in US: - Total fatalities: 35,092 people (2015) [2] - Total injuries: 2.44 million people (2015) [2] - Estimated economic cost: $432.5 billion in 2016 [4] Why? Can we do better?
  • 3. Reasons for Crashes Data from [3]Data from [3]
  • 4. The Way Forward: Smart Safety Need to help drivers with recognition, decision and performance Need to use Smart Sensors, Artificial Intelligence, V2X, X2V, and The Cloud Need Smart Safety
  • 5. Smart Safety Example of Smart Safety working: - Use of autopilot in Tesla cars has lead to a 39% decrease in crash rates [5] - Autonomous cars in California had 26 collision between 2014 and 2017 [6] Perception Local View: - radar - camera - lidar - sonar Global View: - Internet Info (5G) - V2X - X2V Control AI for Motion Planning AI for Path Planning Controller: - precise - consistent Management AI for Perception AI for Fusion AI for Driver & Vehicle Monitoring AI for Prediction of Situations Reaction time: 0.1s
  • 6. Human Safety vs. Smart Safety Perception - eyes Control - estimating - depends on feelings Management Reaction time: 3s1 Human Driving Perception - radar - camera - lidar - more Control - precise - consistent Management Reaction time: 0.1s Smart Driving 1 http://copradar.com/redlight/factors/IEA2000_ABS51.pdf
  • 7. Smart Safety at Work in Passenger Vehicles (PV) Technology Effect Autopilot in Tesla Cars 39% decrease in crash rates [11] Automatic Braking 40% decrease in rear-end crashes [12] 42% decrease in injuries in rear-end crashes [12] Forward Collision Warning 23% decrease in crash rates [12] Electronic Stability Control 15% to 17% decrease in overall collision losses [13] Acura & Mercedes Autonomous Braking 14% decrease in claims [13] Volvo's Autonomous Braking 10% decrease in crashes (not statistically significant) [13] Adaptive Headlights 10% decrease in claims [13] Buick & Mercedes Lane Departure Warning Increase in crashes (not statistically significant) [13]
  • 8. Smart Safety at Work in Commercial Vehicles (CV) Based on crashes in US from 2004-08, ADAS could prevent or mitigate ~107,000 crashes each year (28% of all crashes involving large trucks) [14, 15] ADAS Technology All Injury Fatal Lane Departure Warning 10,000 1,000 247 Electronic Stability Control 30,000 7,000 439 Forward Collision Warning 31,000 3,000 115 Side View Assist 39,000 2,000 79 Total Unique Crashes Addressed 107,000 12,000 835 Potential Crashes Avoided by ADAS [15]
  • 9. Smart Safety at Work in Commercial Vehicles (CV) In EU, 4,021 people were killed in collisions involving heavy vehicles (2013) [16] European Commission estimates ADAS on heavy vehicles could save around 2,500 lives per year (62% of all fatalities) [16, 17]: - 500 lives saved with ESC - 1,000 lives saved with AEB - 1,000 lives saved with LDW No estimates for European buses, vans and light good vehicles [17]
  • 11. Making Basics Work for L3, L4 Crashes of autonomous and semi-autonomous vehicles - Tesla Model S “Autopilot” crashes with turning truck in Williston, Florida 05/07/16 [9] - Tesla Model S “Autopilot” crashes with a parked fire truck in Culver City, California 01/22/18 [10] - Uber’s self-driving car kills pedestrian in Tempe, Arizona 03/19/18 [8] - Tesla electric SUV “Autopilot” crashes with highway divider Mountain View, California 03/23/18 [7] AEB doesn't seem to be helping [18, 19] Crash with stationary object (avoiding false positives?) [18, 19] Need better fundamental safety systems - even for L3, L4 applications
  • 12. Smart Brake Regular AEB - Avoid collision by apply brake when possible obstacle collision detected Smart Brake - Minimize probability of crashing - Minimum force braking: minΔt,Δv F *Δt = m*Δv - Actively learn brake performance - Predict and avoid crashes in complex situations
  • 13. Ingredients for Smart Brake Sensors: - Sonar - Radar - Camera - Other Vehicles - Infrastructure Brake Controller Data for AI models for: Perception, Management, Control
  • 14. Smart Brake in Action Radar Brake Controller Management Smart Brake Camera Sonar Cloud
  • 15. Perception Radar - Long and short range distance estimation Vision - Robust to weather conditions [1] - Provides appearance information (color) - Inexpensive - Detection problems due to variation of appearances
  • 16. Simulation Can generate Big Data Can generate Smart Data Simulator
  • 17. Perception - Princeton Simulation Research
  • 18. Perception - BSD Car & Ped Detection
  • 19. Perception - Vision & Radar Fusion
  • 21. 5 Dimensions of Safety ● Longitudinal Smart Safety Systems ○ FCW, EBS, RCW, RCA, ACC ● Lateral Smart Safety Systems ○ LDW, BSD, SCA, LKA, LCA, CBC ● Vertical Smart Safety Systems ○ ESC ● In-Vehicle Smart Safety Systems ○ Driver monitoring, vehicle failure prediction ● Cloud Smart Safety Systems ○ Driver reports, telematics, V2V, V2I, P2V Foundation of autonomous features
  • 22. Deep Defender Smart Safety System with Machine-Based Driver Intelligence
  • 23. From Deep Defender to Connected Future The Cloud Company Government Police Academia
  • 25. References [1] Chenyi Chen. Extracting Cognition out of Images for the Purpose of Autonomous Driving. PhD thesis, PRINCETON UNIVERSITY, 2016. [2] National Highway Traffic Safety Administration et al. 2015 motor vehicle crashes: overview. Traffic safety facts research note, 2016:1–9, 2016. [3] Santokh Singh. Critical reasons for crashes investigated in the national motor vehicle crash causation survey. Technical report, 2015. [4] Statistics Department National Safety Council. Nsc motor vehicle fatality estimates. http://www.nsc.org/NewsDocuments/2017/12-month-estimates.pdf, 2017. Accessed: 2017-2-26. [5] Kareem Habib. Odi resume the automatic emergency braking. Technical report, 2017. [6] CA DMV–Reports of Traffic Accidents Involving an Autonomous Vehicle–OL316 Available from https://www.dmv.ca.gov/portal/dmv/detail/vr/autonomous/autonomousveh_ol316+ [7] https://www.theguardian.com/technology/2018/mar/31/tesla-car-crash-autopilot-mountain-view [8] http://time.com/5205767/uber-autonomous-car-crash-arizona/ [9] http://time.com/4391175/tesla-crash-autopilot-driverless-cars/ [10] https://www.teslarati.com/tesla-model-s-firetruck-crash-details/
  • 26. References [11] Kareem Habib. Odi resume the automatic emergency braking. Technical report, 2017. [12] Insurance Institute for Highway Safety and Highway Loss Data Institute. Crashes avoided front crash prevention slashes police-reported rear-end crashes. Technical report, 2016. [13]http://www.iihs.org/iihs/news/desktopnews/crash-avoidance-features-reduce-crashes-insurance-claims-study-shows-autonomous-braking-and-ad aptive-headlights-yield-biggest-benefits [14] http://www.iihs.org/iihs/topics/t/large-trucks/qanda [15] http://www.iihs.org/media/d6a354e5-59f0-442d-8f04-1d0491be68d9/hmo_4g/Presentations/Lund%202014-05-12%20NAS.pdf [16] https://ec.europa.eu/transport/road_safety/sites/roadsafety/files/ersosynthesis2016-vehiclesafety15_en.pdf [17] https://www.sciencedirect.com/science/article/pii/S2352146516302344 [18] http://smartdrivingcar.com/6-17-newmode-041218/ [19] http://smartdrivingcar.com/6-16-comegetem-040418/