Fast, accurate gaussian process occupancy maps via test-data octrees and nested Bayesian fusion

Author:

Wang Jinkun,Englot Brendan

Publisher

IEEE

Cited by 41 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. Under-Canopy Navigation Using Aerial Lidar Maps;IEEE Robotics and Automation Letters;2024-08

2. LESS-Map: Lightweight and Evolving Semantic Map in Parking Lots for Long-term Self-Localization;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. SEE-CSOM: Sharp-Edged and Efficient Continuous Semantic Occupancy Mapping for Mobile Robots;IEEE Transactions on Industrial Electronics;2024-02

4. GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model;IEEE Transactions on Robotics;2024

5. PanopticNDT: Efficient and Robust Panoptic Mapping;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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