Vision-aided approach and landing through AI-based vertiport recognition<sup>*</sup>-Reference-Cited by-同舟云学术

Vision-aided approach and landing through AI-based vertiport recognition^*

Published:2023-06-06 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Unmanned Aircraft Systems (ICUAS)
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Author:

Veneruso Paolo¹,Miccio Enrico¹,Opromolla Roberto¹,Fasano Giancarmine¹,Gentile Giacomo²,Tiana Carlo³

Affiliation:

1. University of Naples "Federico II",Department of Industrial Engineering,Naples,Italy,80125

2. Applied Research and Technology (ART),Collins Aerospace,Rome,Italy,00185

3. Collins Aerospace, Vision Systems, Portland,OR,USA,97070

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155645/10155789/10155914.pdf?arnumber=10155914

Reference22 articles.

1. Recognition of a landing platform for unmanned aerial vehicles by using computer vision-based techniques

2. a vision based onboard approach for landing and position control of an autonomous multirotor uav in gps-denied environments;lange;2009 International Conference on Advanced Robotics ICAR,2009

3. YOLOv4: Optimal Speed and Accuracy of Object Detection;bochkovskiy;CoRR,2020

4. Analysis of ground infrastructure and sensing strategies for all-weather approach and landing in Urban Air Mobility

5. Monocular-Based Pose Estimation Based on Fiducial Markers for Space Robotic Capture Operations in GEO

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1. Vision-Aided Navigation for UAM Approach to Vertiports with Multiple Landing Pads;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04

2. AI-powered vision-aided navigation and ground obstacles detection for UAM approach and landing;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01

3. Radar-visual navigation for all-weather approach and landing to vertiports;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01