Multi-Robot System for Autonomous Cooperative Counter-UAS Missions: Design, Integration, and Field Testing-Reference-Cited by-同舟云学术

Multi-Robot System for Autonomous Cooperative Counter-UAS Missions: Design, Integration, and Field Testing

Published:2022-11-08 Issue: Volume: Page:
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Container-title:2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
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Author:

Barisic Antonella¹,Ball Marlan²,Jackson Noah²,McCarthy Riley²,Naimi Nasib³,Strassle Luca³,Becker Jonathan³,Brunner Maurice³,Fricke Julius³,Markovic Lovro¹,Seslar Isaac⁴,Novick David⁴,Salton Jonathan⁴,Siegwart Roland³,Bogdan Stjepan¹,Fierro Rafael²

Affiliation:

1. University of Zagreb,Laboratory for Robotics and Intelligent Control Systems (LAR-ICS), Faculty of Electrical Engineering and Computing,Zagreb,Croatia,10000

2. University of New Mexico,Electrical and Computer Engineering Department,Albuquerque,NM,USA,87131

3. Autonomous Systems Lab (ASL),ETH Zurich,Zurich,Switzerland,8092

4. Sandia National Laboratories,Albuquerque,New Mexico,USA,87185

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10018603/10018585/10018733.pdf?arnumber=10018733

Reference27 articles.

1. Sim2Air - Synthetic Aerial Dataset for UAV Monitoring

2. RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database

3. Feasibility of using 360° LiDAR in C-sUAS Missions

4. A Review of Counter-UAS Technologies for Cooperative Defensive Teams of Drones

5. HorizonBlock: Implementation of an Autonomous Counter-Drone System

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