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成果及论文

科研研目：

1. 面向重卡的场景感知系统研发，省级重大项目的子项目（清华大学委托），主持，202520042

    2. 复杂场景下基于多源深度特征融合的移动机器人感知与导航技术研究, 粤莞联合基金, 主持, 2024A1515140079

    3. 低空环境下陆空跨维度机器人自主导航技术及应用研究,  广东省面上项目，主持, AA250023 

    4. 塔吊无人机智能硬件检测平台开发,横向项目，主持，2JFB2025G0013

 

论文：

  1. Bangquan Xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. MuTrans: Multiple Transformers for Fusing Feature Pyramid on 2D and 3D Object Detection，IEEE Transactions on Image Processing,2023,32: 4407–4415.（中科院1区TOP期刊）
  2. Bangquan Xie, Zongming Yang, Liang Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. ANAS: Asymptotic NAS for Large-scale Proxyless Search and Multi-task Transfer Learning, Pattern Recognition,2023,144: 109821.（中科院1区TOP期刊）
  3. Bangquan Xie, Zongming Yang, Liang Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. SPD: Semi-supervised Learning and Progressive Distillation for 3D Detection, IEEE Transactions on Neural Networks and Learning Systems,2024,35(3): 3503-3513. （中科院1区TOP期刊）
  4. Bangquan Xie, Zongming Yang, Liang Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. AMMF: Attention-based Multiphase Multi-task Fusion for Small Contour Object 3D Detection, IEEE Transactions on Intelligent Transportation Systems,2023,24(2): 1692-1701.（中科院1区TOP期刊）
  5. Bangquan Xie, Zongming Yang, Liang Yang, Ruifa Luo, Ailin Wei, Xiaoxiong Weng, Bing Li. Multi-Scale Fusion With Matching Attention Model：A Novel Decoding Network Cooperated With NAS for Real Time Semantic Segmentation，IEEE Transactions on Intelligent Transportation Systems,2022,23(8): 12622-12632.（中科院1区TOP期刊）
  6. Bangquan Xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. When Multi-sensor Fusion Meets Semi-supervised Learning and Distillation, ICRA, 2023（机器人领域顶会）
  7. Bangquan Xie, Liang Yang, Zongming Yang, Ailin Wei, Xiaoxiong Weng, Bing Li. FocusTR: Focusing on Valuable Feature by Multiple Transformers for Fusing Feature Pyramid on Object Detection，IROS, 2022.（人工智能领域顶会）
  8. Yancheng Ling, Zhenliang Ma, Bangquan Xie, Qi Zhang; Xiaoxiong Weng. SA-BiGCN: Bi-Stream Graph Convolution Networks With Spatial Attentions for the Eye Contact Detection in the Wild, IEEE Transactions on Intelligent Transportation Systems,2024,25(2):2089–2100. （中科院1区TOP刊期刊）
  9. Yancheng Ling, Zhenliang Ma, Qi Zhang, Bangquan Xie, Xiaoxiong Weng. PedAST-GCN: Fast Pedestrian Crossing Intention Prediction Using Spatial–Temporal Attention Graph Convolution Networks, IEEE Transactions on Intelligent Transportation Systems,2024, DOI:10.1109/TITS.2024.3398252. （中科院1区TOP刊期刊）
  10.  李艳洲, Yuanqing Wu, Shenghuang He. Fault estimation and consensus tracking of multi-agent systems based on intermediate estimator. Information Sciences, 2023, 647:119422.(中科院1区TOP刊期刊）
  11.  李艳洲, Yuanqing Wu, Shenghuang He. Distributed consensus control for a group of autonomous marine vehicles with nonlinearity and external disturbances. Neurocomputing, 2021, 443: 380-387. （中科院2区TOP刊期刊）
  12.   Yuanqing Wu, 李艳洲, Hongyi Li, Renquan Lu. Robust LiDAR-based localization scheme for unmanned ground vehicle via multisensor fusion. IEEE Transactions on Neural Networks and Learning Systems, 2020，32(12):5633-5643. （中科院1区TOP刊期刊）
  13. Yuanqing Wu, 李艳洲, Shenghuang He, et al. Sampled-data synchronization of heterogeneous network in industrial manufacture, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2020, 50(9): 3210-3219. （中科院1区TOP刊期刊）
  14. 李艳洲, Yuanqing Wu, Shenghuang He. Network-based leader-following formation control of second-order autonomous unmanned systems. Journal of the Franklin Institute, 2021, 358(1):757-775.
  15. 李艳洲，Yuanqing Wu, Siqin Liao. Robust consensus tracking of one-sided Lipschitz nonlinear multi-agent systems under structured uncertainty and time-varying delay.  International Journal of Robust and Nonlinear Control, 2024,34(10): 6947-6963.
  16. 李艳洲，Yuanqing Wu, Yanyan Ye, et al. Distributed state estimator-based consensus tracking of multi-agent systems with exogenous disturbance. Journal of the Franklin Institute, 2022, 360(12):9139-9158.
  17. 伊克萨尼·普尔凯提, Fan An, Bei Peng, Jinlai Zhang, Tayir Mijit, Arzigul Ahat, Jihong Zhu, and Askar Hamdulla. FGSeg: Field-ground segmentation for agricultural robot based on LiDAR. Computers and Electronics in Agriculture，2023, 211: 107965.（中科院2区TOP期刊）
  18.   Mijit, Tayir, 伊克萨尼·普尔凯提, Xiaming Yuan, Yutong Liang, Jihong Zhu, and Askar Hamdulla. LR-Seg: A Ground Segmentation Method for Low-Resolution LiDAR Point Clouds. IEEE Transactions on Intelligent Vehicles (2023). （中科院1区TOP期刊）