DocumentCode :
2240381
Title :
Driver assistance: an integration of vehicle monitoring and control
Author :
Petersson, Lars ; Apostoloff, Nicholas ; Zelinsky, Alexander
Author_Institution :
Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia
Volume :
2
fYear :
2003
fDate :
14-19 Sept. 2003
Firstpage :
2097
Abstract :
About 1.17 million people die in road crashes around the world each year. It is estimated that up to 30% of these fatalities are caused by fatigue and inattention. There are systems able to detect what is happening outside of the car, e.g., lane tracking, obstacle detection, pedestrian detection etc. Further on, there are also means for monitoring the actions of the driver. A natural step is to fuse the available data from within and outside of the car, and suggest a suitable response. This paper discusses driver assistance systems, lists a set of necessary core competencies of such a system and in particular presents a system for force-feedback in the steering wheel when crossing lanes. The presented system utilises a robust lane tracker which is experimentally evaluated for the purpose of driver assistance. In addition, preliminary results from simultaneous driver monitoring and lane tracking are presented that indicates a good correlation between the two, i.e. the driver´s gaze direction and the structure of the road. These data can in turn be used for more advanced driver assistance systems in the future.
Keywords :
automated highways; automobiles; computerised monitoring; force feedback; road accidents; tracking; car; driver actions monitoring system; driver assistance systems; drivers gaze direction; lane tracking; obstacle detection; pedestrian detection; road accidents; road vehicles; robust lane tracker; steering wheel force feedback; vehicle control; vehicle monitoring; Control systems; Fatigue; Laser radar; Monitoring; Radar tracking; Roads; Robots; Robustness; Vehicle driving; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
ISSN :
1050-4729
Print_ISBN :
0-7803-7736-2
Type :
conf
DOI :
10.1109/ROBOT.2003.1241903
Filename :
1241903
Link To Document :
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