A Reliable Cooperative Fusion Positioning Methodology for Intelligent Vehicle in Non-Line-of-Sight Environments. - Yue Hu 009; Xu Li 004; Xuan Dong; Dong Kong; Qimin Xu; Yizhou Sun (IEEE Trans. Instrum. Meas., 2022)

Learning a Novel LiDAR Submap-Based Observation Model for Global Positioning in Long-Term Changing Environments. - Dong Kong; Xu Li 004; Yue Hu 009; Qimin Xu; Aimin Wang; Weiming Hu (IEEE Trans. Ind. Electron., 2023)

Explicit Points-of-Interest Driven Siamese Transformer for 3D LiDAR Place Recognition in Outdoor Challenging Environments. - Dong Kong; Xu Li 004; Weiming Hu; Jinchao Hu; Yue Hu 009; Qimin Xu; Xiang Song 004 (IEEE Trans. Ind. Informatics, 2023)

An Enhanced-LiDAR/UWB/INS Integrated Positioning Methodology for Unmanned Ground Vehicle in Sparse Environments. - Yue Hu 009; Xu Li 004; Dong Kong; Peizhou Ni; Weiming Hu; Xiang Song 004 (IEEE Trans. Ind. Informatics, 2024)

SC_LPR: Semantically Consistent LiDAR Place Recognition Based on Chained Cascade Network in Long-Term Dynamic Environments. - Dong Kong; Xu Li 004; Qimin Xu; Yue Hu 009; Peizhou Ni (IEEE Trans. Image Process., 2024)

A Reliable Position Estimation Methodology Based on Multi-Source Information for Intelligent Vehicles in Unknown Environment. - Yue Hu 009; Xu Li 004; Dong Kong; Kun Wei; Peizhou Ni; Jinchao Hu (IEEE Trans. Intell. Veh., 2024)

Robust 3D Semantic Segmentation Based on Multi-Phase Multi-Modal Fusion for Intelligent Vehicles. - Peizhou Ni; Xu Li 004; Wang Xu; Dong Kong; Yue Hu 009; Kun Wei (IEEE Trans. Intell. Veh., 2024)

TopSPR-Net: Topology Aware Segment-Level Point Cloud Learning Descriptors for Three-Dimensional Place Recognition in Large-Scale Environments. - Dong Kong; Xu Li 004; Peizhou Ni; Yue Hu 009; Jinchao Hu; Weiming Hu (IEEE Trans. Ind. Electron., 2024)

Radial awareness with adaptive hybrid CNN-Transformer range-view representation for outdoor LiDAR point cloud semantic segmentation. - Xiang He; Xu Li 004; Qimin Xu; Yue Hu 009; Zhengliang Sun (Expert Syst. Appl., 2025)