DocumentCode :
2164289
Title :
Toward next generation of driver assistance systems: A multimodal sensor-based platform
Author :
Rezaei, Mahdi ; Sarshar, Mohammadreza ; Sanaatiyan, M. Mehdi
Author_Institution :
Dept. of Comput. Eng., Qazvin Islamic Azad Univ., Qazvin, Iran
Volume :
4
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
62
Lastpage :
67
Abstract :
Achieving secure vehicles equipped with accident prevention systems is one of the greatest passions of researchers in automotive laboratories. This article provides a detail description on the state of the art techniques for road situation monitoring and driver´s behavior analysis (human factors). The focus would be to gain a practical multifaceted approach in order to simultaneous analysis of driver´s distraction, and potential road hazards to make an emergency intervention in case of dangerous driving situations. In this regard, a diversity of information via Iris/Pupil status monitoring and EEG spectrum has been gathered and then fused with out-vehicle sensors such as RADAR, LIDAR, Ultrasonic and Vision. In order to cope with computational complexities due to multiple sensors, a heuristic method of multi sensory data fusion and fuzzy solutions has been developed. All discussions are based on real sensors. The method could be applied on various driver assistance systems such as cruise control, overtaking and lane keeping systems.
Keywords :
computational complexity; driver information systems; sensor fusion; EEG spectrum; accident prevention systems; automotive laboratories; computational complexity; driver assistance systems; driver behavior analysis; iris-pupil status monitoring; lidar; multimodal sensor-based platform; multisensory data fusion; radar; road situation monitoring; Accident prevention; Automotive engineering; Hazards; Human factors; Iris; Laboratories; Monitoring; Roads; Sensor fusion; Vehicles; Advanced Driver Assistance Systems; EEG Spectrom; Human Factors; Intelligent Transportation Systems; Iris/Pupil Monitoring; LASER; RADAR; Sensor Fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451782
Filename :
5451782
Link To Document :
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