… This paper introduces a new robust Kalman Filter (KF) for the AGV state estimation using …
robustly and establish the equivalence between the Kalman filter and a specific least squares …

… Kalman filter (EKF), we develop a vehicle tracking algorithm to enable reliable radio
connections. For the vehicle … range to build networks for connected vehicles. For these reasons, …

… the leading vehicle’s trajectory is used by the subject vehicle to … Our experiments conducted
on real-world connected vehicle … Finally, we apply the augmented extended Kalman filter (…

… connected vehicles by assuming a fixed cycle length so that the … of individual vehicle’s
trajectories (ie, second-by-second vehicle … Kalman filtering technique was utilized to estimate the …

… -time monitoring and safety control in electric vehicles. To obtain better SOC estimation
accuracy, a joint modeling method based on adaptive unscented Kalman filter(AUKF) and least-…

… system (GNSS), a velocity-based Kalman filter is formalized to estimate the velocity errors, …
, a consensus Kalman information filter is developed to synthesize the vehicle kinematics and …

… Specifically, enabled with V2V and V2I communication capabilities, connected vehicles can
… Since the market penetration rate (MPR) of connected vehicles is still very low, it is expected …

… Therefore, not only technologies of the cooperative vehicle-infrastructure and the intelligent
connected vehicle information service need, but also the deep integration and system …

… Extended Kalman Filter (EKF), which is able to predict a set of possible scenarios for vehicle
… A vehicle named as source vehicle in Figure 4, is connected with the internet through a …

… vector of the preceding vehicle. Compared to the … Kalman filter in this paper instead of the
normal Kalman filter based … of the preceding vehicle in [12] includes the inter-vehicle distance, …