Autonomous Detection and Approach Tracking of Moving Ship on the Sea by VTOL UAV based on Deep Learning Technique through Simulated Real-time On-Air Image Acquisitions-Reference-Cited by-同舟云学术

Autonomous Detection and Approach Tracking of Moving Ship on the Sea by VTOL UAV based on Deep Learning Technique through Simulated Real-time On-Air Image Acquisitions

Published:2021-12-21 Issue: Volume: Page:
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Container-title:2021 8th NAFOSTED Conference on Information and Computer Science (NICS)
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Author:

Trong Tuan Do¹,Hai Quan Tran²,Van Manh Vu²,Thai Binh Nguyen²,Chi Tung Nguyen²,Quang Truong Nguyen²

Affiliation:

1. Hanoi University of Science and Technology,School of Electrical and Electronics Engineering,Hanoi,Vietnam

2. Hanoi University of Science and Technology,Aerospace Electronics Laboratory, School of Electrical and Electronic Engineering,Hanoi,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9701446/9701447/09701509.pdf?arnumber=9701509

Reference33 articles.

1. Fast Single-Class Classification and the Principle of Logit Separation

2. Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

3. Path Aggregation Network for Instance Segmentation

4. CSPNet: A New Backbone that can Enhance Learning Capability of CNN

5. A Ground-Based Near Infrared Camera Array System for UAV Auto-Landing in GPS-Denied Environment

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1. Autonomous UAV Landing Approach for Marine Operations;OCEANS 2023 - Limerick;2023-06-05

2. Autonomous Landing Scheme of VTOL UAV on Moving Ship Using Deep Learning Technique Embedded in Companion Computer;2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS);2022-11-21