The increase in mad safety has been an essential issue for car manufacturers for the past two decades. While present sensor systems mainly focus on validated detection of conventional crash partners like other vehicles or poles, there is still a lack for a reliable and cost efficient solution for the detection of pedestrians. In this context, a passive infrared system is a viable alternative mainly due to its affordability and entironment-friendliness. In this paper, a pedestrian detection system based on infrared (TR) sensors is presented. The system consists of an array of thermopile sensurs which are arranged on the front bumper of the automobile in a wag that the region of interest (ROI) is covered by the sensors field of tiew (FOV). Since thermopiles don't provide distance information, the sensor arrangement should also facilitate object localization. The optimal sensor arrangement is computed through an optimization algorithm. Howet-er for an accurate position estimation, the sensor arrangement should be supported by suitable probabilistic techniques. For this reason an approach was deteloped to map the measurements by means of a sensor model to an Occupancy Grid. The grid contains a probabilistic value in each cell and is egu-motion compensated. The combination of the optimized sensor arrangement and the Occupancy Grid technique are discussed here and a mliable method for position estimation of pedestrians is presented.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.