Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning

no code implementations • 13 May 2024 • Jia Hu, Mingyue Lei, Duo Li, Zhenning Li, Jaehyun, So, Haoran Wang

Guided by the objective of optimizing rewards within the constraints of the driving zone, this approach employs model predictive control for trajectory planning.

Computational Efficiency Model Predictive Control +1

V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception

no code implementations • 24 Mar 2024 • Hao Xiang, Zhaoliang Zheng, Xin Xia, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, Li Jin, Mingyue Lei, Zhaoyang Ma, Zihang He, Haoxuan Ma, Yunshuang Yuan, Yingqian Zhao, Jiaqi Ma

Recent advancements in Vehicle-to-Everything (V2X) technologies have enabled autonomous vehicles to share sensing information to see through occlusions, greatly boosting the perception capability.

Autonomous Vehicles