YOLO Instance Segmentation Model Comparison for Drone Detection as Visual Servo Control Marker-Reference-Cited by-同舟云学术

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YOLO Instance Segmentation Model Comparison for Drone Detection as Visual Servo Control Marker

Published:2023-11-19 Issue: Volume:7 Page:1-5
ISSN:
Container-title:2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
language:
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Author:

Bolaybolay John Mel A.¹,Aleluya Earl Ryan M.²,Clar Steve E.¹,Pao Jeanette C.¹,Salaan Carl John O.³,Alagon Prancis Jann A.²,Villame Cherry Mae G.²,Guirnaldo Sherwin A.⁴

Affiliation:

1. Department of Electrical Engineering

2. Department of Computer Engineering and Mechatronics

3. Graduate School of Engineering

4. Mindanao State University - Iligan Institute of Technology,Department of Mechanical Engineering and Technology,Iligan City,Philippines,9200

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10588998/10589001/10589188.pdf?arnumber=10589188

Reference19 articles.

1. Initial Development of Ground Robot-based Launching Device for Volcano Lake pH and Temperature Measurement

2. Drone-based Water Sampling System with Active Auto-Lock Mechanism

3. Simulation and Strength Analysis of Flippable Mobile Ground Robot for Volcano Exploration and Monitoring Application

4. Initial devel-opment of a mobile robot for aerial-ground collaborative exploration of Taal volcano in the Philippines;Cunanan

5. Development and field test of teleoperated mobile robots for active volcano observation

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