In this review, we provide an overview of emerging trends and challenges in the field of intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …
Automated driving requires decision making in dynamic and uncertain environments. The uncertainty from the prediction originates from the noisy sensor data and from the fact that …
Autonomous driving requires decision making in dynamic and uncertain environments. The uncertainty from the prediction originates from the noisy sensor data and from the fact that …
DG Yang, K Jiang, D Zhao, CL Yu, Z Cao… - Science China …, 2018 - Springer
Intelligent connected vehicles (ICVs) are believed to change people's life in the near future by making the transportation safer, cleaner and more comfortable. Although many …
Y Wang, L Wang, J Guo, I Papamichail… - … research part C …, 2022 - Elsevier
Connected and automated vehicles (CAVs) enabled by wireless communication and vehicle automation are believed to revolutionize the form and operation of road transport in the next …
AK Tyagi, SU Aswathy - International Journal of Intelligent Networks, 2021 - Elsevier
The vehicle business has accomplished extraordinary outcomes in creating dependable, sheltered and reasonable vehicles throughout the only remaining century. Autonomous …
X Tang, K Yang, H Wang, W Yu, X Yang, T Liu… - Chinese Journal of …, 2022 - Springer
Autonomous vehicles require safe motion planning in uncertain environments, which are largely caused by surrounding vehicles. In this paper, a driving environment uncertainty …
X He, H Chen, C Lv - SAE International Journal of Vehicle Dynamics …, 2023 - dr.ntu.edu.sg
Automated driving is essential for developing and deploying intelligent transportation systems. However, unavoidable sensor noises or perception errors may cause an …