Robust detection of vehicle occupant posture is necessary for intelligent airbag deployment. This paper presents a vision-based method of estimating the size, posture and pose of the occupant. Utilizing raw reflectance and stereo disparity images, this algorithm presents a mixed-mode approach to finding occupant features. Extensive experiments show the viability of this mixed-mode method in identifying the occupant's head location and suggest the feasibility of extending the analysis system to include detection of features such as occupant arms and foreign objects.
Occupant posture analysis using reflectance and stereo image for "smart" airbag deployment
2004-01-01
656608 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
11.40 Occupant Posture Analysis using Reflectance and Stereo Images for "Smart" Airbag Deployment
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