Intelligent Sensors: 2010 - 2020
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Jonas Lamis from SciVestor presented this presentation at RobDevelopment, November 2008.
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Intelligent Sensors: 2010 - 2020
- 1. Intelligent Sensors 2010 - 2020! I <3 sensors Jonas Lamis - SciVestor
- 7. The Law of Accelerating Returns Courtesy Ray Kurzweil and Kurzweil Technologies
- 8. B4 + C
- 10. Why Create a Driverless Car?
- 16. ISGR
- 20. SENSING THOUGHT
- 21. Brain sensors
- 24. Ray and Terry
- 27. 23 and Me
- 33. SMART DUST
- 34. SMART DUST
- 36. Business Logic Basic Awareness Sensory Enablement http://www.flickr.com/photos/liberato/171610084/
- 37. Answers the ques,on: Answers the ques,on: Where am I? e What’s around Mobi rformanc nsing me? le Se Basic Awareness Pe High Goal Logic Execution Answers the ques,ons: Makes the statements: Am I behaving correctly? Do this and that. Am I doing anything dangerous?
- 38. Higher‐Level Domain Knowledge and Applica,on‐ specific opera,ons implemented here e Mobi rformanc Complex business rules nsing Interac>ng with society le Se Basic Awareness Pe High Goal Logic Execution 100% of an applica,on developer’s ,me should be spent here
- 39. 2004 DGC Landscape of Technologies 5 – 10% of team capacity was spent 30 ‐ 60% of team capacity on collec,ng GPS data. was spent enabling mobile sensing technologies. Mature and well‐established high performance GPS market enabled e Mobi rformanc nsing developers to focus on higher‐level Prevalent Technologies: func,on of GPS waypoint traversal. le Se SICK Prevalent Technologies: Basic Awareness Pe BOSCH NAVCOM High Custom Vision Solu,ons Goal Arrow Logic Trimble 10 – 30% of team capacity spent wri,ng the same “commodity” Execution naviga,onal algorithms as other teams such as: In 2004, DGC goals were simple: PID controllers Let the Naviga>on system take the car to the end. Kalman Filters Higher level func,ons were irrelevant Obstacle Avoidance 10 – 20% of team capacity was because basic sensing and naviga,on spent integra,ng actuators. technologies needed to be developed.
- 40. 2005 DGC Landscape of Technologies 5 – 10% of team capacity was spent 30 ‐ 50% of team capacity on collec,ng GPS data. was spent enabling mobile sensing technologies. Mature and well‐established high performance GPS market enabled e Mobi rformanc nsing developers to focus on higher‐level Prevalent Technologies: func,on of GPS waypoint traversal. le Se SICK Prevalent Technologies: Basic Awareness Pe BOSCH NAVCOM High Custom Vision Solu,ons Goal Arrow Logic Trimble 40 – 60% of team capacity spent wri,ng the same “commodity” Execution naviga,onal algorithms as other teams such as: In 2005, DGC goals were s,ll simple: PID controllers Let the Naviga>on system take the car to the end. Kalman Filters The 2005 DGC was effec,vely the Obstacle Avoidance 10 – 20% of team capacity was conclusion of the 2004 DGC. spent integra,ng actuators. ¹ ¹ Actuator integration will continue to be studied. It has sparked a market for turnkey actuator systems for vehicles. It is outside the scope of this presentation.
- 41. 2007 DUC Landscape of Technologies 5 – 10% of team capacity was spent 5 ‐ 15% of team capacity on collec,ng GPS data. was spent enabling mobile sensing technologies. Mature and well‐established high performance GPS market enabled e Allowed more capacity to Mobi rformanc nsing developers to focus on higher‐level be spent on higher level func,on of GPS waypoint traversal. func,ons. le Se Prevalent Technologies: Basic Awareness Prevalent Enabling Pe Technologies: NAVCOM High Goal Velodyne Arrow Logic ibeo Trimble 40 – 70% of team capacity 20 – 40% of team capacity spent was spent on codifying wri,ng the same “commodity” domain knowledge of rules Execution naviga,onal algorithms as other of the road: teams such as: Respect rules of four‐way PID controllers intersec>ons. Kalman Filters Merge safely with moving traffic. Obstacle Avoidance 10 – 20% of team capacity was Safely pass into oncoming spent integra,ng actuators. ¹ traffic. ¹ Actuator integration will continue to be studied. It has sparked a market for turnkey actuator systems for vehicles. It is outside the scope of this presentation.
- 42. Market beats Global Meltdown expectations Biggest.bubble.ever Nuke York Utopia End of Humanity Sameness Badness Goodness
- 43. Listen up humans. SciVestor provides research and consulting on emerging technologies that will change the world. I <3 those guys scivestor.com/insight twitter.com/jonaslamis Image (cc) http://www.flickr.com/photos/maxkiesler/2240153169/