Title
Safe path planning among multi obstacles
Abstract
This paper proposed a practical path-planning algorithm for an autonomous vehicle or a car-like robot in an unknown semi-structured (or unstructured) environment, where obstacles are detected online by the vehicle's sensors. The algorithm is based on particle filter, Bézier curves and support vector machine to provide a safe path among various static and moving obstacles and to satisfy the vehicle's curvature constraints. The algorithm has been implemented and verified on the simulation software. Experimental results demonstrate the effectiveness of the proposed method in complicated conditions with existing of multi objects.
Year
DOI
Venue
2011
10.1109/IVS.2011.5940553
Intelligent Vehicles Symposium
Keywords
Field
DocType
car-like robot,particle filtering (numerical methods),vehicle sensors,bézier curves,mobile robots,computational geometry,control engineering computing,particle filter,path-planning algorithm,obstacle detection,autonomous vehicle,support vector machine,collision avoidance,support vector machines,robot vision,path planning,robots,bezier curves,force,satisfiability,simulation software
Motion planning,Robot control,Simulation software,Particle filter,Computational geometry,Support vector machine,Control engineering,Engineering,Robot,Mobile robot
Conference
ISSN
ISBN
Citations 
1931-0587
978-1-4577-0890-9
4
PageRank 
References 
Authors
0.46
13
4
Name
Order
Citations
PageRank
Quoc Huy Do1686.02
Long Han2616.96
Hossein Tehrani Niknejad31127.29
Seiichi Mita431638.88