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