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cs.RO2026

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…

cs.RO2026

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…

cs.RO2025

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…

cs.RO2025

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…

cs.RO2025

HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios

Mingyang Jiang, Yueyuan Li, Songan Zhang +3

Automated parking stands as a highly anticipated application of autonomous driving technology. However, existing path planning methodologies fall short of addressing this need due…

cs.RO2025

Embodied Escaping: End-to-End Reinforcement Learning for Robot Navigation in Narrow Environment

Han Zheng, Jiale Zhang, Mingyang Jiang +4

Autonomous navigation is a fundamental task for robot vacuum cleaners in indoor environments. Since their core function is to clean entire areas, robots inevitably encounter dead z…