Dynamic Obstacle Detection Based on Probabilistic Moving Feature Recognition

This paper presents a framework to detect moving objects based on the recognition of moving features in the images. The classification scheme is based on a complete probabilistic representation of feature locations that relates the vehicle motion with the visual information. Experimental evaluation under different settings in an outdoor, urban environment shows the performance of the proposed architecture.