Self-driving vehicles need to continuously analyse the driving scene, understand the behavior of other road users and predict their future trajectories in order to plan a safe …
The significant contribution of human errors, accounting for approximately 94%(with a margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …
Vehicle trajectory prediction is essential in ensuring the safe and efficient operation of advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), as it enables …
SH Park, BD Kim, CM Kang… - 2018 IEEE intelligent …, 2018 - ieeexplore.ieee.org
In this paper, we propose a deep learning based vehicle trajectory prediction technique which can generate the future trajectory sequence of surrounding vehicles in real time. We …
In order to realize driving safety in highway scenarios, autonomous vehicles need to predict and reason about the driving intentions and motion trajectories of surrounding target …
Vehicle trajectory prediction is essential for advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), playing a crucial role in collision avoidance, path planning, and …
Manish, U Dohare, S Kumar - Proceedings of Third International …, 2023 - Springer
In the field of smart urban traffic networks, Vehicle Trajectory Prediction or VTP is a crucial research field in the area of driving assistance and autonomous vehicles. A vehicle can be …
Z Ding, H Zhao - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
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 …
Y Xu, Y Wang, S Peeta - Transportation research record, 2023 - journals.sagepub.com
Accurate vehicle trajectory prediction enables safe, comfortable, and optimal proactive motion planning for connected and autonomous vehicles (CAVs). Because of rapid …