Title :
Shortest paths for autonomous vehicles
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ, USA
Abstract :
Paths that stay on a given network of line segments except to turn onto one segment from another by following a circular arc are studied. The problem of finding a shortest-length collision-free path of this form for an autonomous vehicle with a bound on its steering angle is considered. A polynomial-time algorithm to modify a given feasible path into a shortest-length path traversing the same sequence of lanes is given. However, if the sequence of lanes to be traversed is not fixed, then the general problem of finding a shortest-length path of the restricted form is shown to be NP-complete
Keywords :
computational complexity; mobile robots; position control; NP-complete; autonomous vehicles; computational complexity; line segments; mobile robots; polynomial-time algorithm; position control; shortest-length collision-free path; steering angle; Dynamic programming; Geometry; Manipulator dynamics; Mobile robots; NP-complete problem; Path planning; Polynomials; Remotely operated vehicles; Turning; Vehicle dynamics;
Conference_Titel :
Robotics and Automation, 1989. Proceedings., 1989 IEEE International Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
0-8186-1938-4
DOI :
10.1109/ROBOT.1989.99961