Donglai Xue — accepted AI-conference papers

2025

SEB-Naver: A SE(2)-based Local Navigation Framework for Car-like Robots on Uneven Terrain

Xiaoying Li, Long Xu, Xiaolin Huang, Donglai Xue, Zhihao Zhang, Zhichao Han +3

IROS 2025

Autonomous navigation of car-like robots on uneven terrain poses unique challenges compared to flat terrain, particularly in traversability assessment and terrain-associated kinematic modelling for motion planning. This paper introduces SEB-Naver, a novel SE(2)-based local navigation framework desig

Cited by 5 Source ↗code ↗Scholar ↗

2024

Towards Dense and Accurate Radar Perception via Efficient Cross-Modal Diffusion Model

Ruibin Zhang, Donglai Xue, Yuhan Wang, Ruixu Geng, Fei Gao

RA-L 2024

Millimeter wave (mmWave) radars have attracted significant attention from both academia and industry due to their capability to operate in extreme weather conditions. However, they face challenges in terms of sparsity and noise interference, which hinder their application in the field of micro aeria

Cited by 33 Source ↗code ↗Scholar ↗