A system to detect complex motion of nearby vehicles on freeways

We propose an improved computational model motivated by human cognitive processes for detecting changes of driving environments. The model, called dynamic visual model (DVM), consists of three major components: sensory, perceptual, and conceptual components. The proposed model is used as the underlying framework in which a system for detecting complex motions of nearby moving vehicles on a freeway is developed.