Semantically-Enhanced Deep Collision Prediction for Autonomous Navigation Using Aerial Robots-Reference-Cited by-同舟云学术

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Semantically-Enhanced Deep Collision Prediction for Autonomous Navigation Using Aerial Robots

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Kulkarni Mihir¹,Nguyen Huan¹,Alexis Kostas¹

Affiliation:

1. Norwegian University of Science and Technology (NTNU),Autonomous Robots Lab,Trondheim,Norway,7034

Funder

AFOSR

Research Council of Norway

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342297.pdf?arnumber=10342297

Reference47 articles.

1. The current state and future outlook of rescue robotics

2. CERBERUS in the DARPA Subterranean Challenge

3. Three-dimensional coverage path planning via viewpoint resampling and tour optimization for aerial robots

4. Highly compact robots for inspection of power plants

5. Seeing the forest from drones: Testing the potential of lightweight drones as a tool for long-term forest monitoring

Cited by 3 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. N-MPC for Deep Neural Network-Based Collision Avoidance exploiting Depth Images;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Reinforcement Learning for Collision-free Flight Exploiting Deep Collision Encoding;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Task-Driven Compression for Collision Encoding Based on Depth Images;Advances in Visual Computing;2023

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