Work smart, not hard: Recalling relevant experiences for vast-scale but time-constrained localisation-Reference-Cited by-同舟云学术

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Work smart, not hard: Recalling relevant experiences for vast-scale but time-constrained localisation

Published:2015-05 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Linegar Chris,Churchill Winston,Newman Paul

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7128761/7138973/07138985.pdf?arnumber=7138985

Cited by 62 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. Adaptive robot localization in dynamic environments through self-learnt long-term 3D stable points segmentation;Robotics and Autonomous Systems;2024-11

2. What You See Is What You Get: Experience Ranking with Deep Neural Dataset-to-Dataset Similarity for Topological Localisation;Springer Proceedings in Advanced Robotics;2024

3. What to Learn: Features, Image Transformations, or Both?;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. Learned Long-Term Stability Scan Filtering for Robust Robot Localisation in Continuously Changing Environments;2023 European Conference on Mobile Robots (ECMR);2023-09-04

5. Visual Place Recognition Using an Unsupervised CNN Approach;2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA);2023-08-18

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