| Semantic graph based place recognition for 3d point clouds X Kong, X Yang, G Zhai, X Zhao, X Zeng, M Wang, Y Liu, W Li, F Wen 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 130 | 2020 |
| SSC: Semantic scan context for large-scale place recognition L Li, X Kong, X Zhao, T Huang, W Li, F Wen, H Zhang, Y Liu 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 89 | 2021 |
| SA-LOAM: Semantic-aided LiDAR SLAM with loop closure L Li, X Kong, X Zhao, W Li, F Wen, H Zhang, Y Liu 2021 IEEE International Conference on Robotics and Automation (ICRA), 7627-7634, 2021 | 87 | 2021 |
| RINet: Efficient 3D lidar-based place recognition using rotation invariant neural network L Li, X Kong, X Zhao, T Huang, W Li, F Wen, H Zhang, Y Liu IEEE Robotics and Automation Letters 7 (2), 4321-4328, 2022 | 61 | 2022 |
| RFNet: Recurrent forward network for dense point cloud completion T Huang, H Zou, J Cui, X Yang, M Wang, X Zhao, J Zhang, Y Yuan, Y Xu, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 46 | 2021 |
| Separated sonar localization system for indoor robot navigation W Chen, J Xu, X Zhao, Y Liu, J Yang IEEE Transactions on Industrial Electronics 68 (7), 6042-6052, 2020 | 28 | 2020 |
| A robust stereo feature-aided semi-direct SLAM system X Zhao, L Liu, R Zheng, W Ye, Y Liu Robotics and Autonomous Systems 132, 103597, 2020 | 20 | 2020 |
| Semantic scan context: a novel semantic-based loop-closure method for LiDAR SLAM L Li, X Kong, X Zhao, T Huang, Y Liu Autonomous Robots 46 (4), 535-551, 2022 | 18 | 2022 |
| Review of multi-source fusion SLAM: current status and challenges W Jinke, Z Xingxing, Z Xiangrui, L Jiajun, L Yong Journal of Image and Graphics 27 (02), 368-389, 2022 | 17 | 2022 |
| SuperLine3D: Self-supervised line segmentation and description for LiDAR point cloud X Zhao, S Yang, T Huang, J Chen, T Ma, M Li, Y Liu European Conference on Computer Vision, 263-279, 2022 | 12 | 2022 |
| Camera-based 3d semantic scene completion with sparse guidance network J Mei, Y Yang, M Wang, J Zhu, J Ra, Y Ma, L Li, Y Liu IEEE Transactions on Image Processing, 2024 | 10 | 2024 |
| Learning to compensate for the drift and error of gyroscope in vehicle localization X Zhao, C Deng, X Kong, J Xu, Y Liu 2020 IEEE intelligent vehicles symposium (IV), 852-857, 2020 | 10 | 2020 |
| Geo-localization with transformer-based 2D-3D match network L Li, Y Ma, K Tang, X Zhao, C Chen, J Huang, J Mei, Y Liu IEEE Robotics and Automation Letters, 2023 | 8 | 2023 |
| RoLM: Radar on LiDAR map localization Y Ma, X Zhao, H Li, Y Gu, X Lang, Y Liu 2023 IEEE International Conference on Robotics and Automation (ICRA), 3976-3982, 2023 | 8 | 2023 |
| OL-SLAM: a robust and versatile system of object localization and slam C Chen, Y Ma, J Lv, X Zhao, L Li, Y Liu, W Gao Sensors 23 (2), 801, 2023 | 7 | 2023 |
| 多源融合 SLAM 的现状与挑战 王金科， 左星星， 赵祥瑞， 吕佳俊， 刘勇 中国图象图形学报, 2022 | 7 | 2022 |
| A robust stereo semi-direct SLAM system based on hybrid pyramid X Zhao, R Zheng, W Ye, Y Liu 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 7 | 2019 |
| OverlapNetVLAD: A coarse-to-fine framework for LiDAR-based place recognition C Fu, L Li, L Peng, Y Ma, X Zhao, Y Liu arXiv preprint arXiv:2303.06881, 2023 | 5 | 2023 |
| Learnable Chamfer Distance for point cloud reconstruction T Huang, Q Liu, X Zhao, J Chen, Y Liu Pattern Recognition Letters 178, 43-48, 2024 | 4 | 2024 |
| Learning to train a point cloud reconstruction network without matching T Huang, X Yang, J Zhang, J Cui, H Zou, J Chen, X Zhao, Y Liu European Conference on Computer Vision, 179-194, 2022 | 3 | 2022 |
Yong LiuInstitute of Cyber-Systems and Control, Zhejiang UniversityVerified email at iipc.zju.edu.cn
