9 papers
RoadWeaver: Large-Scale Lane-Level HD Map Generation from Scratch for Autonomous Driving Simulation
Yueyuan Li, Zexi Chen, Weijie Xi +4
Autonomous driving simulation requires diverse and scalable lane-level HD maps to support long-horizon evaluation across complex road networks. Existing approaches either rely on h…
A Stitch in Time Saves Nine: Preserving Policy Compatibility Under Perception Updates in End-to-End Autonomous Driving
Yueyuan Li, Yifei Xiao, Mingyang Jiang +3
End-to-end autonomous driving systems tightly couple perception and decision-making through latent representations. Consequently, updates to perception models can alter these repre…
End-to-end Autonomous Vehicle Following System using Monocular Fisheye Camera
Jiale Zhang, Yeqiang Qian, Tong Qin +3
The increase in vehicle ownership has led to increased traffic congestion, more accidents, and higher carbon emissions. Vehicle platooning is a promising solution to address these…
A Diffusion-Refined Planner with Reinforcement Learning Priors for Confined-Space Parking
Mingyang Jiang, Yueyuan Li, Jiaru Zhang +2
The growing demand for parking has increased the need for automated parking planning methods that can operate reliably in confined spaces. In restricted and complex environments, h…
ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving
Yongming Chen, Miner Chen, Liewen Liao +5
Reinforcement learning (RL) in autonomous driving employs a trial-and-error mechanism, enhancing robustness in unpredictable environments. However, crafting effective reward functi…
From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
Yueyuan Li, Mingyang Jiang, Songan Zhang +3
In recent years, end-to-end autonomous driving architectures have gained increasing attention due to their advantage in avoiding error accumulation. Most existing end-to-end autono…