Implementation of Object Detection and Recognition Based On Exploration Deep Neural Network Features for Quadcopter
Author:
Affiliation:
1. Telkom University,Image Processing and Vision Laboratory,Bandung,Indonesia
2. School of Electrical Engineering Telkom University,Bandung,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9971789/9971786/09971943.pdf?arnumber=9971943
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2. Object Detection Method for Grasping Robot Based on Improved YOLOv5
3. Modeling and control of a single axis tilting quadcopter
4. Design, control and application of quadcopter;ostoji?;Int J Ind Eng Manag,2015
5. Research on the state detection of the secondary panel of the switchgear based on the YOLOv5 network model
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