MuCaSLAM: CNN-Based Frame Quality Assessment for Mobile Robot with Omnidirectional Visual SLAM
Author:
Affiliation:
1. Skolkovo Institute of Science and Technology,Intelligent Space Robotics Laboratory, Center for Digital Engineering,Moscow,Russian Federation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9926286/9926419/09926621.pdf?arnumber=9926621
Cited by 10 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. A Deep Analysis of Visual SLAM Methods for Highly Automated and Autonomous Vehicles in Complex Urban Environment;IEEE Transactions on Intelligent Transportation Systems;2024-09
2. DNFOMP: Dynamic Neural Field Optimal Motion Planner for Navigation of Autonomous Robots in Cluttered Environment;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01
3. POA: Passable Obstacles Aware Path-Planning Algorithm for Navigation of a Two-Wheeled Robot in Highly Cluttered Environments;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01
4. LocoNeRF: A NeRF-Based Approach for Local Structure from Motion for Precise Localization;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01
5. Infradar-Localization: Single-Chip Infrared- and Radar-Based Monte Carlo Localization;2023 IEEE 19th International Conference on Automation Science and Engineering (CASE);2023-08-26
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