DocumentCode
1619097
Title
Research of the optimal path planning methods for unmanned ground vehicle in DARPA Urban Challenge
Author
Woo, Hoon Je ; Park, Sang Bae ; Kim, Jung Ha
Author_Institution
Grad. Sch. of Automotive Eng., Kookmin Univ., Seoul
fYear
2008
Firstpage
586
Lastpage
589
Abstract
This paper introduces an optimal algorithm through analyzing and studying various algorithms used in DARPA Urban Challenge 2007 and making a numerical statement about each algorithm. The top eleven teams that passed the NQE (national qualifying event) used Dijkstra, A*, RRTs, and D*. Therefore, this research will focus on those algorithms and study a method to apply an optimal algorithm.
Keywords
path planning; remotely operated vehicles; road vehicles; DARPA Urban Challenge; Dijkstra algorithm; NQE; National Qualifying Event; optimal path planning methods; unmanned ground vehicle; Algorithm design and analysis; Automatic control; Automotive engineering; Costs; Humans; Land vehicles; Navigation; Optimal control; Path planning; Vehicle safety; A*; D*; Dijkstra algorithm; Path Planning; RRTs; Unmanned Ground Vehicle;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
Conference_Location
Seoul
Print_ISBN
978-89-950038-9-3
Electronic_ISBN
978-89-93215-01-4
Type
conf
DOI
10.1109/ICCAS.2008.4694570
Filename
4694570
Link To Document