Sensor Fusion in Computer Vision

Sensor fusion has been an active area of research in the field of computer vision for over two decades. Early approaches to sensor fusion were focused on the recovery of the three-dimensional scene structure from two short baseline cameras which was considered to be similar to the human vision system. Recently with the availability of sensors of various modalities, computer vision researchers have started looking into these new sensory data for the solution of automated understanding of the scene content. In this paper, an outline of some of the most common sensor fusion techniques is provided. Although no priority is given to one technique over the others, we selected only a handful techniques that are related to sensor fusion in the context of urban city modeling.