This paper shows how to implement curvature-optimal solutions of path-planning and trajectoryservoing problems for autonomous vehicles by using neural nets. The neural net is used to implement the nonlinear optimal state-feedback laws. The trained net can be used in real-time control. The net is tra
โฆ LIBER โฆ
Global Path-Planning for Constrained and Optimal Visual Servoing
โ Scribed by Chesi, G.; Hung, Y.S.
- Book ID
- 115518689
- Publisher
- IEEE
- Year
- 2007
- Tongue
- English
- Weight
- 844 KB
- Volume
- 23
- Category
- Article
- ISSN
- 1552-3098
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The issues of automatic car operation aiming at in an unknown complex terrain are the most effective path planning and the obstacles avoiding in this complex terrain. For that, an on-line algorithm for guiding a mobile object in an unexplored terrain filled with convex polygonal obstacles is present