Title :
Real-time recognition of large-scale driving patterns
Author :
Engstrom, Johan ; Victor, Trent
Author_Institution :
Human Syst. Integration Dept., Volvo Technol. Dev. Corp., Gothenburg, Sweden
Abstract :
This work has explored the possibilities of real-time, automatic, recognition of large-scale driving situations. Employing a statistical pattern recognition framework, implemented by means of feedforward neural networks, models were developed for recognising, from vehicle control data, four classes of driving situations: highway, main road, suburban traffic and city traffic
Keywords :
Bayes methods; feedforward neural nets; pattern recognition; probability; road vehicles; city traffic; feedforward neural networks; highway; large-scale driving patterns; main road; real-time recognition; statistical pattern recognition framework; suburban traffic; traffic safety; Automated highways; Automatic control; Communication system traffic control; Feedforward neural networks; Large-scale systems; Neural networks; Pattern recognition; Road vehicles; Traffic control; Vehicle driving;
Conference_Titel :
Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
Conference_Location :
Oakland, CA
Print_ISBN :
0-7803-7194-1
DOI :
10.1109/ITSC.2001.948801
