J Fang, F Wang, J Xue, TS Chua - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In driving scenes, road agents often engage in frequent interaction and strive to understand their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …
F Li, Y Gao, Y Wu, Y Xia, C Wang, J Hu… - Energy Conversion and …, 2023 - Elsevier
Deep reinforcement learning has emerged as a promising candidate for online optimal energy management of multi-energy storage vehicles. However, how to ensure the …
H Liao, Z Li, H Shen, W Zeng, D Liao, G Li… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to overcome on the journey to fully autonomous vehicles. To address this challenge, we …
In autonomous vehicle (AV) technology, the ability to accurately predict the movements of surrounding vehicles is paramount for ensuring safety and operational efficiency …
Driving style can significantly affect the energy consumption, battery lifespan, and driving economy of electric vehicles. In this context, this paper proposes a novel driving style-aware …
In the burgeoning field of autonomous vehicles (AVs), trajectory prediction remains a formidable challenge, especially in mixed autonomy environments. Traditional approaches …
M Peng, X Guo, X Chen, M Zhu, K Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
To ensure safe driving in dynamic environments, autonomous vehicles should possess the capability to accurately predict the lane change intentions of surrounding vehicles in …
T Huang, R Fu, Q Sun, Z Deng, Z Liu, L Jin… - … research part C …, 2024 - Elsevier
Driver lane change intention (DLCI) predicting has become an essential research for the development of human–machine co-driving system. This work makes an attempt to predict …
H Sadid, C Antoniou - IEEE Transactions on Intelligent Vehicles, 2024 - ieeexplore.ieee.org
Trajectory prediction is a critical aspect of understanding and estimating the motion of dynamic systems, including robotics and autonomous vehicles (AVs). For safe and efficient …