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Published in 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure.
Recommended citation: L. Li, X. Kong, X. Zhao, W. Li, F. Wen, H. Zhang, and Y. Liu. "SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure," 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 7627–7634. https://ieeexplore.ieee.org/abstract/document/9560884
Published in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
SSC: Semantic Scan Context for Large-Scale Place Recognition.
Recommended citation: L. Li, X. Kong, X. Zhao, T. Huang, W. Li, F. Wen, H. Zhang, and Y. Liu, “SSC: Semantic scan context for large-scale place recognition,” 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp. 2092-2099. https://ieeexplore.ieee.org/document/9635904
Published in Autonomous Robots, 2022
Semantic scan context: a novel semantic-based loop-closure method for LiDAR SLAM.
Recommended citation: Li, L., Kong, X., Zhao, X. et al. Semantic scan context: a novel semantic-based loop-closure method for LiDAR SLAM. Auton Robot 46, 535–551 (2022). https://link.springer.com/article/10.1007/s10514-022-10037-w
Published in IEEE Robotics and Automation Letters, 2022
RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network.
Recommended citation: L. Li, X. Kong, X. Zhao, T. Huang, W. Li, F. Wen, H. Zhang, and Y. Liu, "RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network," in IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 4321-4328, April 2022. https://ieeexplore.ieee.org/document/9712221
Published:
SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure.
Published:
SSC: Semantic scan context for large-scale place recognition.
Published:
RINet: Efficient 3D Lidar-Based Place Recognition Using Rotation Invariant Neural Network.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.