NAVIGATION STRATEGY FOR MOBILE ROBOT BASED ON COMPUTER VISION AND YOLOV5 NETWORK IN THE UNKNOWN ENVIRONMENT

NAVIGATION STRATEGY FOR MOBILE ROBOT BASED ON COMPUTER VISION AND YOLOV5 NETWORK IN THE UNKNOWN ENVIRONMENT

The capacity to navigate effectively in complex environments is a crucial prerequisite for mobile robots. In this study, the YOLOv5 model is utilized to identify objects to aid the mobile robot in determining movement conditions. However, the limitation of deep learning models being trained on insuf...

Full description

Bibliographic Details
Main Authors: Thanh-Lam BUI, Ngoc-Tien TRAN
Format: Article
Language:English
Published: Polish Association for Knowledge Promotion 2023-06-01
Series:Applied Computer Science
Subjects:
mobile robot
navigation
deep learning
computer vision
Online Access:http://www.acs.pollub.pl/index.php?option=com_content&view=article&id=567:navigation-strategy-for-mobile-robot-based-on-computer-vision-and-yolov5-network-in-the-unknown-environment&catid=97:vol-19-no-22023&Itemid=171

Internet

http://www.acs.pollub.pl/index.php?option=com_content&view=article&id=567:navigation-strategy-for-mobile-robot-based-on-computer-vision-and-yolov5-network-in-the-unknown-environment&catid=97:vol-19-no-22023&Itemid=171

Similar Items