Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in the automotive field, as enablers for vehicle energy consumption, safety, and comfort …
H Zhang, G Luo, Y Li, FY Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Metaverse and intelligent transportation system (ITS) are disruptive technologies that have the potential to transform the current transportation system by decreasing traffic accidents …
Recently, a chat generative pre-trained transformer (ChatGPT) attracts widespread attention in the academies and industries because of its powerful conversational ability with human …
Autonomous vehicle racing has emerged as vibrant, innovative technology development, demonstration platform in recent years. Universities, companies demonstrate their …
H Wang, W Hao, J So, X Xiao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Lane-Change (LC) maneuvers are deemed to jeopardize traffic safety, mobility, and sustainability. Cooperative Lane-Change (CLC) solves this problem by accelerating the LC …
Abstract Neural Ordinary Differential Equation (NODE) is a recently proposed family of deep learning models that can perform a continuous approximation of a linear/nonlinear dynamic …
T Qie, W Wang, C Yang, Y Li, Y Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
For automated driving vehicles, trajectory planning is responsible for obtaining feasible trajectories with velocity profiles according to driving environments. From the perspective of …
X Zhou, F Sun, C Zhang, C Sun - Journal of Power Sources, 2022 - Elsevier
With inevitable random disturbance in traffic scenarios, electric vehicles (EVs) may face the driving safety issue, while, if operated over cautiously, the frequent speed variation …
A fundamental aspect of racing is overtaking other race cars. Whereas previous research on autonomous racing has majorly focused on lap-time optimization, here, we propose a …