1 / 19

Vision-based Motion Planning for an Autonomous Motorcycle on Ill-Structured Road

Vision-based Motion Planning for an Autonomous Motorcycle on Ill-Structured Road. Reporter : 鄒嘉恆 Date : 08/31/09. Intr oduction. Design a vision-based motion planning system for desert terrain. The motion planning is based on a vision vector space(V 2 -space).

milos
Télécharger la présentation

Vision-based Motion Planning for an Autonomous Motorcycle on Ill-Structured Road

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Vision-based Motion Planning for an Autonomous Motorcycle on Ill-Structured Road Reporter:鄒嘉恆 Date:08/31/09

  2. Introduction • Design a vision-based motion planning system for desert terrain. • The motion planning is based on a vision vector space(V2-space). • Motivated by the DARPA Grand Challenge.

  3. Outline • V2-space • Algorithm • V2-Space construction • Motion planning in V2-space • Experimental results • Conclusion

  4. V2-space • Pin-hole model: • Video frame F is a matrix of RGB values:

  5. Algorithm:V2-space construction

  6. Algorithm:V2-space construction • Color correction:

  7. Algorithm:V2-space construction • Surface verification: • Obstacles detection:

  8. Algorithm:V2-space construction • Direction extraction:

  9. Algorithm:Motion planning in V2-space • A point robot with no time delay:

  10. Algorithm:Motion planning in V2-space • Choose the velocity profile vp(t) • The motorcycle cannot run too fast for a given trajectory radius R.

  11. Algorithm:Motion planning in V2-space • Incorporating GPS information:

  12. Algorithm:Vehicle size and processing delay • Vehicle size

  13. Algorithm:Vehicle size and processing delay • Image processing delay:

  14. Algorithm overview

  15. Experimental results • From video clip:

  16. Experimental results • From video clip:

  17. Experimental results • From video clip:

  18. Experimental results • Filed tests:

  19. Conclusions • Propose V2-space, a new framework that represent road feature and allows fast construction and motion planning. • In the future, they will consider incorporating V2-space in a stereo vision system.

More Related