DocumentCode :
3550869
Title :
Real-time navigation for autonomous vehicles: a fuzzy obstacle avoidance and goal approach algorithm
Author :
Chen, Qi ; Özgüner, Ümit
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA
fYear :
2005
fDate :
8-10 June 2005
Firstpage :
2153
Abstract :
In this paper, a novel real-time fuzzy navigation algorithm of the off-road autonomous ground vehicle is presented. The navigator´s goal is to direct the AGV safely, continuously and smoothly across nature terrain en route to a goal. The proposed navigator consists of two fuzzy controllers, the steering controller and the speed controller. These two controllers are designed separately by mimicking the human performances, yet they work collaboratively. Both the simulation and the demonstration of our AGV in the Grand Challenge 04 justify the performance of our navigator.
Keywords :
automatic guided vehicles; collision avoidance; control system synthesis; fuzzy control; mobile robots; vehicles; velocity control; AGV navigator; autonomous vehicles; control design; fuzzy navigation algorithm; fuzzy obstacle avoidance algorithm; goal approach algorithm; heterogeneous fuzzy control; off-road autonomous ground vehicle; real-time navigation; speed controller; steering controller; Collaborative work; Fuzzy control; Fuzzy logic; Fuzzy systems; Humans; Land vehicles; Mobile robots; Navigation; Path planning; Remotely operated vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2005. Proceedings of the 2005
ISSN :
0743-1619
Print_ISBN :
0-7803-9098-9
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2005.1470289
Filename :
1470289
Link To Document :
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