Title :
An intelligent driving system for automatically anticipating and negotiating road curves
Author :
Chan, Matthew ; Partouche, David ; Pasquier, Michel
Author_Institution :
Nanyang Technol. Univ., Singapore
fDate :
Oct. 29 2007-Nov. 2 2007
Abstract :
Human error is the main cause of the many road traffic accidents which every year take the lives of millions of people and injure many more. Driving safety is thus a major concern leading to research in autonomous driving systems. One project at the centre for computational intelligence (C2i), NTU, aims at using fuzzy neural architectures such as GenSoFNN-Yager to realize intelligent driving Le., to learn to autonomously park, make U-turns, drive, and even decide when to change lane, overtake, etc. This paper presents recent work on intelligent speed adaptation and steering control (ISASC), a novel feature of which is the ability to anticipate the road profile and negotiate curves safely. The proposed system was developed and tested on a driving simulator. Experimental results show the robustness of the system in learning from example the desired human driving expertise and applying this knowledge to negotiate new unseen roads.
Keywords :
position control; road safety; road traffic; steering systems; intelligent driving system; intelligent speed adaptation; road curve; road traffic accident; safety driving; steering control; Automated highways; Automatic control; Competitive intelligence; Computational intelligence; Fuzzy neural networks; Fuzzy systems; Humans; Intelligent robots; Intelligent systems; Road accidents;
Conference_Titel :
Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-0912-9
Electronic_ISBN :
978-1-4244-0912-9
DOI :
10.1109/IROS.2007.4399350