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Autonomous  Ground Vehicles: the DARPA Grand Challenge MAE593 Class Presentation Xiaobo Zhou Tomasz Lewczyk
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]
Overview of DARPA Grand Challenge   ,[object Object],[object Object]
What the challenges are: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
They made it ,[object Object],[object Object]
2005 Champion Stanley details ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Resources From Stanford Racing Team
Stanley’s software flowchart
Laser Terrain Mapping ,[object Object],[object Object],[object Object]
A single line scanner, 3-D point cloud, Small errors in pose estimation and Terrain labeling for parameter tuning
Cont. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Other challenges ,[object Object],[object Object],[object Object],[object Object]
Adaptive Vision This figure illustrates the processing stages of the computer vision system: (a) a raw image; (b) the processed image with the laser quadrilateral and a pixel classification; (c) the pixel classification before thresholding; and (d) horizon detection for sky removal.
Adaptive Vision These images illustrate the rapid adaptation of Stanley’s computer vision routines. When the laser predominately screens the paved surface, the grass is not classified as drivable. As Stanley moves into the grass area, the classification changes.
Path planning ,[object Object],[object Object],[object Object]
Vehicle Control ,[object Object]
The Future… ,[object Object],[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Autonomous Ground Vehicles The Darpa Grand Challenge

  • 1. Autonomous Ground Vehicles: the DARPA Grand Challenge MAE593 Class Presentation Xiaobo Zhou Tomasz Lewczyk
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  • 9. A single line scanner, 3-D point cloud, Small errors in pose estimation and Terrain labeling for parameter tuning
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  • 12. Adaptive Vision This figure illustrates the processing stages of the computer vision system: (a) a raw image; (b) the processed image with the laser quadrilateral and a pixel classification; (c) the pixel classification before thresholding; and (d) horizon detection for sky removal.
  • 13. Adaptive Vision These images illustrate the rapid adaptation of Stanley’s computer vision routines. When the laser predominately screens the paved surface, the grass is not classified as drivable. As Stanley moves into the grass area, the classification changes.
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