Vision-based deep learning for UAVs collaboration-Reference-Cited by-同舟云学术

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Vision-based deep learning for UAVs collaboration

Published:2019-05-15 Issue: Volume: Page:
ISSN:
Container-title:Unmanned Systems Technology XXI
language:
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Author:

Arola Sébastien,Akhloufi Moulay A.

Publisher

SPIE

Reference18 articles.

1. UAVs for wildland fires;Akhloufi,2018

2. Relative visual localization (RVL) for UAV navigation;Couturier,2018

3. Multi-uav collaborative monocular slam;Schmuck,2017

4. Monocular vision based collaborative localization for micro aerial vehicle swarms;Vemprala,2018

5. Airsim: High-fidelity visual and physical simulation for autonomous vehicles;Shah;Field and Service Robotics,2017

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1. Malicious UAV detection using various modalities;Drone Systems and Applications;2024-01-01

2. YOLO-Based UAV Technology: A Review of the Research and Its Applications;Drones;2023-03-10

3. AN EXTENSION OF THE MABAC AND OS MODEL USING LINGUISTIC NEUTROSOPHIC NUMBERS: SELECTION OF UNMANNED AIRCRAFT FOR FIGHTING FOREST FIRES;Transport;2022-05-02

4. Deep convolutional object detection and search area prediction for UAV tracking;Unmanned Systems Technology XXIII;2021-04-12

5. Airborne Localisation of Small UAS using Visual Detection: A Field Experiment;2020 IEEE Symposium Series on Computational Intelligence (SSCI);2020-12-01

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