Feature-based multi-hypothesis localization and tracking for mobile robots using geometric constraints-Reference-Cited by-同舟云学术

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Feature-based multi-hypothesis localization and tracking for mobile robots using geometric constraints

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Container-title:Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292)
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Author:

Arras K.O.,Castellanos J.A.,Siegwart R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/7916/21842/01014734.pdf?arnumber=1014734

Cited by 22 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. Large-Scale Radar Localization using Online Public Maps;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

2. PlaneLoc: Probabilistic global localization in 3-D using local planar features;Robotics and Autonomous Systems;2019-03

3. Using the Jensen-Shannon, Density Power, and Itakura-Saito Divergences to Implement an Evolutionary-Based Global Localization Filter for Mobile Robots;IEEE Access;2017

4. Coarse-to-Fine Localization for a Mobile Robot Based on Place Learning With a 2-D Range Scan;IEEE Transactions on Robotics;2016-06

5. Kullback-Leibler Divergence-Based Differential Evolution Markov Chain Filter for Global Localization of Mobile Robots;Sensors;2015-09-16

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