DocumentCode :
1941433
Title :
Road scene monotony detection in a fatigue management driver assistance system
Author :
Fletcher, Luke ; Petersson, Lars ; Zelinsky, Alexander
Author_Institution :
Dept. Inf. Eng., Australian Nat. Univ., Canberra, ACT, Australia
fYear :
2005
fDate :
6-8 June 2005
Firstpage :
484
Lastpage :
489
Abstract :
Automated fatigue detection devices show much promise in combating fatigue related accidents. One aspect which hampers the introduction of these technologies is context awareness. In this paper we develop and evaluate a road scene monotony detector. The detector can be used to give context awareness to fatigue detection tools to minimise false positives. The approach could also be used by road makers to quantify monotony on fatigue prone stretches of road. The detector uses MPEG compression to measure the change in information content of the road scene over time. We show that the detector correlates highly with human identified monotonous scenes. The technique is consistent over time and applicable for day and night operation. The compression is augmented with lane tracking data to distinguish between otherwise difficult cases. The detector is integrated into a fatigue management driver assistance system.
Keywords :
augmented reality; driver information systems; image coding; road accidents; video coding; MPEG compression; automated fatigue detection device; context awareness; driver assistance system; fatigue management; information content; lane tracking data; road scene monotony detection; Australia; Capacitive sensors; Context awareness; Detectors; Fatigue; Humans; Layout; Monitoring; Road accidents; Vehicle driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2005. Proceedings. IEEE
Print_ISBN :
0-7803-8961-1
Type :
conf
DOI :
10.1109/IVS.2005.1505150
Filename :
1505150
Link To Document :
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