To Appear in IEEE International Symposium on Intelligent Vehicles in Parma, Italy, June 2004. Occupant Posture Analysis using Reflectance and Stereo Images for “Smart” Airbag Deployment
نویسندگان
چکیده
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 robustness of this mixed-mode method in identifying the occupant’s head location and suggest feasibility in extending the analysis system to include robust detection of features such as occupant arms and foreign objects.
منابع مشابه
Vehicle Occupant Head Distance Extraction Method using Stereo-Vision
In recent years, the development of airbag system has improved the safety of the occupants. However, the car occupant can be often killed by improper airbag operation. Robust detection of vehicle occupant posture is necessary for a safer intelligent airbag deployment system. This paper presents a stereobased method of estimating the posture of the occupant. Utilizing the disparity images and th...
متن کاملDecision Algorithm for Smart Airbag Deployment Safety Issues
Airbag deployment has been known to be responsible for huge death, incidental injuries and broken bones due to low crash severity and wrong deployment decisions. Therefore, the authorities and industries have been looking for more innovative and intelligent products to be realized for future enhancements in the vehicle safety systems (VSSs). Although the VSSs technologies have advanced consider...
متن کاملReal-Time Stereo-Based Head Detection
AbstmctA red-time stereo-based head detection algorithm i s presented and evaluated as an occupant posture analysis system for ”smart” airbag deployment. The algorithm uses several constraints to limit the number of head ellipse ”candidates” found in the image. These constraints are based on shape, size and depth of the occupant’s head. Results of ground truth experiments show $at the bead dete...
متن کاملVehicle Occupant Posture Analysis Using Voxel Data
Analysis of the vehicle occupant posture is a key problem in designing “smart airbag” systems. Vision based technology could enable the use of precise information about the occupant’s size, position, and posture in making airbag deployment decisions. In this paper, we present our experiments in estimation of the body posture of a sitting person using a motion capture system that performs analys...
متن کاملImage-based Passenger Detection and Localization inside Vehicles
In our paper we describe the ongoing research to develop an intelligent airbag system. Using image sequences acquired from a stereo camera, we detect the form and the position of the driver and passenger seat. And, if a seat is classified as occupied, we try to estimate the geometry and position of the human’s head as the most distinguishing feature of the body, if it is possible. The developed...
متن کامل