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Toward Human-Level Intelligence in Autonomous Cars






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Toward Human-Level Intelligence in Autonomous Cars

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1. Toward Human-Level Intelligence in Autonomous Cars Prof. Sebastian Thrun Director, SAIL Stanford University

2. Progress in AI: 1956 ? 2006 Human-Level Chess Human-Level Dialogue Human-Level Perception

3. 2004: Barstow, CA, to Primm, NV

4. 2004 Grand Challenge

5. Grand Challenge 2004: 106 Teams

6. Grand Challenge 2005: 195 Teams

7. Stanford?s Robot Stanley

8. Laser-Based Terrain Acquisition

9. Range Sensor Interpretation

10. Obstacle Detection

11. Laser Perception of the Beer Bottle Pass

12. Continual Planning and Control

13. Finding Drivable Surface in Video

14. Vision: Continual Adaptation

15. Adaptive Vision in Mojave Desert

16. 2005 Semi-Finalists: 43 Teams

17. AI Put to a Test: The ?NQE?

18. National Qualification Event (Sept 05)

19. National Qualification Event

20. Adaptive Vision During ?NQE?

21. 2005 Finalists: 23 Teams

22. The Grand Challenge Race

23. DARPA ?Urban Challenge:? Nov 3, 2007 Carry out missions in urban environments Obey all CA traffic laws Accommodate road blockages etc

24. Why Hard?

25. Progress in AI: 1956 ? 2006 Human-Level Chess Human-Level Dialogue Human-Level Perception

26. A Big Surprise? Perception ? Computation In particular, computers won?t perceive better just because they are faster Stanley?s software: runs on 2 laptops Need: better computer algorithms!

27. Some Wild Technology Predictions In 20 years: I will trust my autonomous car more than I trust myself In 50 years: Cars won?t have human controls any longer In 50 years: Very little progress on human-level perception. Instead, we will ?engineer away? most of the perception problems.

28. STAIR: Stanford AI Robot Project


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