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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).
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Vision-based Motion Planning for an Autonomous Motorcycle on Ill-Structured Road Reporter:鄒嘉恆 Date:08/31/09
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.
Outline • V2-space • Algorithm • V2-Space construction • Motion planning in V2-space • Experimental results • Conclusion
V2-space • Pin-hole model: • Video frame F is a matrix of RGB values:
Algorithm:V2-space construction • Color correction:
Algorithm:V2-space construction • Surface verification: • Obstacles detection:
Algorithm:V2-space construction • Direction extraction:
Algorithm:Motion planning in V2-space • A point robot with no time delay:
Algorithm:Motion planning in V2-space • Choose the velocity profile vp(t) • The motorcycle cannot run too fast for a given trajectory radius R.
Algorithm:Motion planning in V2-space • Incorporating GPS information:
Algorithm:Vehicle size and processing delay • Vehicle size
Algorithm:Vehicle size and processing delay • Image processing delay:
Experimental results • From video clip:
Experimental results • From video clip:
Experimental results • From video clip:
Experimental results • Filed tests:
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.