Abstract
Advanced Driver Assistance Systems (ADAS) are necessary for safe driving in complicated traffic environments. In some ADAS applications, it is necessary to recognize the free space area using multi sensors. In order to fuse and integrate the output of sensors, we need to handle the measurement conflicts between different sensors. Conventional methods such as Bayesian Filter increase the unknown or ambiguous information in the case of measurement conflicts between sensors. We propose an algorithm to decrease unknown information caused by sensors conflicts. We provide experimental results to compare the proposed method with conventional algorithms.
