A General Framework for Lifelong Localization and Mapping in Changing Environment
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9635848/9635849/09635985.pdf?arnumber=9635985
Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Tightly-Coupled Lidar-Based Lifelong Mapping using Wheels and a MEMS Gyroscope for Mobile Robots in Dynamic Environment;Proceedings of the 2024 3rd International Symposium on Robotics, Artificial Intelligence and Information Engineering;2024-07-05
2. Poles Extraction Based LiDAR Localization for Autonomous Robot Systems;Journal of Systems Science and Complexity;2024-06-11
3. Long-term Map Management in Degraded Scenarios Based on Pose Reference and Information Density;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
4. Proposal of Simultaneous Localization and Mapping for Mobile Robots Indoor Environments Using Petri Nets and Computer Vision;2024-05-28
5. A Two-step Nonlinear Factor Sparsification for Scalable Long-term SLAM Backend;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
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