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صفحه اصلی
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سی و سومین کنفرانس بین المللی مهندسی برق
Human detection and following by a mobile robot using YOLO structured convolutional neural network
نویسندگان :
Yasan Majidi
1
Amir Hossein Hassanabadi
2
1- Department of Electrical Engineering, Qazvin Branch, Islamic Azad University
2- Department of Electrical Engineering, Qazvin Branch, Islamic Azad University
کلمات کلیدی :
Convolutional neural networks،YOLO،Object tracking،Target Recovery،Mobile Robot،Visual Similarity Matching،Real-time computer vision
چکیده :
In mobile robot applications within home environments, losing track of a target can result in permanent loss, significantly affecting performance. This research enhances the YOLO (You Only Look Once) algorithm by integrating a target recovery mechanism to address temporary target loss. When the robot loses sight of the target, a visual similarity matching algorithm is used to recover the target once it returns to the robot's field of view. The proposed method was implemented and tested on a TurtleBot3 robot. Results demonstrate that this approach successfully adds a recovery capability to the YOLO algorithm while requiring fewer computational resources compared to other recovery methods. This makes it a practical solution for real-time applications in resource-constrained environments.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
