Vision-based Autonomous Landing System for Quadcopter Drone Using OpenMV
Author:
Affiliation:
1. School of Electrical Engineering, Telkom University,Bandung,Indonesia
2. Kumoh National Institute of Technology,Dept. of IT Convergence Engineering,Gumi,South Korea
Funder
IITP (Institute for Information & communications Technology Planning & Evaluation)
National Research Foundation of Korea (NRF)
Ministry of Education, Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9952188/9952355/09952383.pdf?arnumber=9952383
Reference11 articles.
1. Object identification for computer vision using image segmentation
2. Vision-based autonomous landing of unmanned aerial vehicles
3. Precision landing options in unmanned aerial vehicles
4. Application of machine vision to traffic monitoring and control
5. Performance Analysis on Artificial Bee Colony Algorithm for Path Planning and Collision Avoidance in Swarm Unmanned Aerial Vehicle
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