Qingxiang Zhang — accepted AI-conference papers

2023

Deep Interactive Full Transformer Framework for Point Cloud Registration

Guangyan Chen, Meiling Wang, Qingxiang Zhang, Li Yuan, Tong Liu, Yufeng Yue

ICRA 2023poster

Point cloud registration is a crucial technology in the fields of robotics and computer vision. Despite the significant advances in point cloud registration enabled by Transformer-based methods, limitations persist due to indistinct feature extraction, noise sensitivity, and outlier handling. These…

Cited by 7 Source ↗code ↗Scholar ↗

2021

Robust Semantic Map Matching Algorithm Based on Probabilistic Registration Model

Qingxiang Zhang, Meiling Wang, Yufeng Yue

ICRA 2021poster

The matching and fusing of local maps generated by multiple robots can greatly enhance the performance of relative localization and collaborative mapping. Currently, existing semantic matching methods are partly based on classical iterative closet point (ICP), which typically fail in cases with larg…

Cited by 10 Source ↗Scholar ↗