Daxin Tian

2 accepted papers

2026

LAGCN: Low-Cost Aerial-Ground Collaborative Navigation in Unknown Environments

Qi Wang, Xuting Duan, Chen Shao, Daxin Tian

RA-L 2026

In complex and unknown environments, unmanned ground vehicles (UGVs) with no perception capability or degraded sensing struggle to achieve efficient and safe autonomous navigation. To address this challenge, this paper proposes a low-cost aerial–ground collaborative autonomous navigation system desi

Cited by 0 Source ↗Scholar ↗

2021

Semantic Feature Mining for 3D Object Classification and Segmentation

Weihao Lu, Dezong Zhao, Cristiano Premebida, Wen-Hua Chen, Daxin Tian

ICRA 2021poster

Deep learning on 3D point clouds has drawn much attention, due to its large variety of applications in intelligent perception for automated and robotic systems. Unlike structured 2D images, it is challenging to extract features and implement convolutional networks over these unordered points. Althou…

Cited by 2 Source ↗Scholar ↗