DocumentCode :
1875119
Title :
Artificial potential functions for highway driving with collision avoidance
Author :
Wolf, Michael T. ; Burdick, Joel W.
Author_Institution :
Mech. Eng., California Inst. of Technol., Pasadena, CA
fYear :
2008
fDate :
19-23 May 2008
Firstpage :
3731
Lastpage :
3736
Abstract :
We present a set of potential function components to assist an automated or semi-automated vehicle in navigating a multi-lane, populated highway. The resulting potential field is constructed as a superposition of disparate functions for lane- keeping, road-staying, speed preference, and vehicle avoidance and passing. The construction of the vehicle avoidance potential is of primary importance, incorporating the structure and protocol of laned highway driving. Particularly, the shape and dimensions of the potential field behind each obstacle vehicle can appropriately encourage control vehicle slowing and/or passing, depending on the cars´ velocities and surrounding traffic. Hard barriers on roadway edges and soft boundaries between navigable lanes keep the vehicle on the highway, with a preference to travel in a lane center.
Keywords :
collision avoidance; mobile robots; road vehicles; artificial potential functions; collision avoidance; highway driving; lane- keeping functions; laned highway driving; populated highway; road-staying functions; semiautomated vehicle; speed preference; vehicle avoidance; Automated highways; Collision avoidance; Navigation; Road transportation; Road vehicles; Robot kinematics; Shape control; Space vehicles; Vehicle driving; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on
Conference_Location :
Pasadena, CA
ISSN :
1050-4729
Print_ISBN :
978-1-4244-1646-2
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2008.4543783
Filename :
4543783
Link To Document :
بازگشت