Snow and ice films obscure lane lines during the winter, leading to inaccurate trajectory
predictions and reducing a driver's ability to guide the vehicle. The full use of observable …

Past research on pedestrian trajectory forecasting mainly focused on deterministic
predictions which provide only point estimates of future states. These future estimates can …

Lane change trajectory prediction is crucial for autonomous vehicles (AVs) to assess their
own driving safety in advance. However, there are significant uncertainties in the …

Autonomous Vehicles have wide-ranging applications in off-road environments. Off-road
vehicular scenes can be abstracted as multi-agent systems, and trajectory prediction is a …

The utility companies are heavily investing in the production of renewable energy to meet
the current demand for energy consumption by the commercial industries and the …

With the massive deployment of 5G cellular infrastructures, traffic prediction has become an
indispensable part of the cellular resource management system in order to provide reliable …

Abstract We propose DROGON (Deep RObust Goal-Oriented trajectory prediction Network)
for accurate vehicle trajectory forecast by considering behavioral intention of vehicles in …

The in-vehicle voltage-based intrusion detection system (VIDS) can recognize the identity of
the ECUs and detect the physical layer attacks that cannot be detected by the content-based …

Accurately forecasting the future movements of surrounding vehicles is essential for safe
and efficient operations of autonomous driving cars. This task is difficult because a vehicle's …

Vehicle Trajectory Prediction (VTP) is one of the key issues in the field of autonomous
driving. In recent years, more researchers have tried applying Deep Learning methods and …