A Self-Supervised Near-to-Far Approach for Terrain-Adaptive Off-Road Autonomous Driving-Reference-Cited by-同舟云学术

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A Self-Supervised Near-to-Far Approach for Terrain-Adaptive Off-Road Autonomous Driving

Published:2021-05-30 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Mayuku Orighomisan,Surgenor Brian W.,Marshall Joshua A.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9560720/9560666/09562029.pdf?arnumber=9562029

Cited by 11 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 Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments;IEEE Robotics and Automation Letters;2024-06

2. TerrainSense: Vision-Driven Mapless Navigation for Unstructured Off-Road Environments;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. On Hierarchical Path Planning Based on Deep Reinforcement Learning in Off- Road Environments;2024 10th International Conference on Automation, Robotics and Applications (ICARA);2024-02-22

4. A Survey on Path Planning for Autonomous Ground Vehicles in Unstructured Environments;Machines;2024-01-02

5. Leveraging Multimodal Sensing and Topometric Mapping for Human-Like Autonomous Navigation in Complex Environments;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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