Optimizing Terrain Mapping and Landing Site Detection for Autonomous UAVs-Reference-Cited by-同舟云学术

Optimizing Terrain Mapping and Landing Site Detection for Autonomous UAVs

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
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Author:

Proenca Pedro F.¹,Delaune Jeff¹,Rol ¹,Brockers ¹

Affiliation:

1. Jet Propulsion Laboratory, California Institute of Technology,Pasadena,CA,USA

Funder

Jet Propulsion Laboratory

California Institute of Technology

National Aeronautics and Space Administration

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811789.pdf?arnumber=9811789

Reference25 articles.

1. Vision Guided Landing of an Autonomous Helicopter in Hazardous Terrain

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4. Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing

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1. Covariance Based Terrain Mapping for Autonomous Mobile Robots;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. HALO: Hazard-Aware Landing Optimization for Autonomous Systems;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

3. Unmanned Aerial Vehicle Safe Autonomous Landing;2023

4. REUT: A Retinex-inspired Low-light Image Enhancer for UAV Tracking at Night;2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta);2022-12