Off the beaten track: Predicting localisation performance in visual teach and repeat-Reference-Cited by-同舟云学术

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Off the beaten track: Predicting localisation performance in visual teach and repeat

Published:2016-05 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Dequaire Julie,Tong Chi Hay,Churchill Winston,Posner Ingmar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7478842/7487087/07487209.pdf?arnumber=7487209

Cited by 8 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. 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

2. Teach and Repeat and Wheel Calibration for LiDAR-Equipped Omnidirectional Drive Robots;2023 European Conference on Mobile Robots (ECMR);2023-09-04

3. Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends;IEEE Access;2021

4. Visual-inertial teach and repeat;Robotics and Autonomous Systems;2020-09

5. “Dave...I can assure you ...that it’s going to be all right ...” A Definition, Case for, and Survey of Algorithmic Assurances in Human-Autonomy Trust Relationships;ACM Computing Surveys;2019-02-27

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