En-Eye: A Cooperative Video Fusion Framework for Traffic Safety in Intelligent Transportation Systems

Limited vision is a one of the most essential cause in traffic accidents. To guarantee the safety of vehicle operating, a series of matured assistance systems choose to deploy many special sensors. These solutions, however, only emphasize the equipment on a single vehicle. In some complex environment, detecting range would be limited within 50 m by various obstacles. Exchanging data among vehicles would be useful. But most current systems transfer a small amount of data, like vehicle operating states. In this paper, a smart-terminal-based framework named En-Eye is developed to enhance the traffic safety. En-Eye is proposed as a framework use smart terminals to construct a small-scope-network to exchange video data captured by camera in real time. Furthermore, video fusion is developed inside the framework for further analysis. Finally, an Android-based implementation of En-Eye framework has been achieved and work well in real environments.