ABSTRACT
The availability of high-accuracy location awareness is essential for a diverse set of vehicular applications including intelligent transportation systems, location-based services (LBS), navigation, as well as a couple of emerging cooperative vehicle infrastructure systems (CVIS). This chapter presents a framework of DSRC-based enhancement for mobile vehicle localization using the DSRC physical layer data and the coarse position and velocity data provided by the commodity GPS. The enhancement is achieved by sharing and combining multilateral information of local vehicles through DSRC. With the linearized system model, one have further proposed an interactive multiple-model (IMM)-based Kalman filter (KF) that is used to track the covariances of the DFS measurements under different situations. A TV is considered as a research object for positioning enhancement based on CV, and a neighboring vehicle is considered as a vehicle that is within a certain communication range to the TV and is moving in the opposite direction of the TV.
