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Object tracking for autonomous vehicle using YOLO V3

Accuracy and performance of an object detection model have always been the main requirements for an object tracking system. In this project, the performance of machine learning based object detection using YOLO v3 technique will be investigated. Two models were provided where one model is trained us...

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Bibliographic Details
Main Authors: Hung, William Chin Wei, Muhammad Aizzat, Zakaria, Muhammad Izhar, Ishak, Mohamad Heerwan, Peeie
Format: Conference or Workshop Item
Language:English
English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/39447/1/Object%20Tracking%20for%20Autonomous%20Vehicle%20Using%20YOLO%20V3.pdf
http://umpir.ump.edu.my/id/eprint/39447/2/Object%20tracking%20for%20autonomous%20vehicle%20using%20YOLO%20V3_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39447/
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http://umpir.ump.edu.my/id/eprint/39447/1/Object%20Tracking%20for%20Autonomous%20Vehicle%20Using%20YOLO%20V3.pdf
http://umpir.ump.edu.my/id/eprint/39447/2/Object%20tracking%20for%20autonomous%20vehicle%20using%20YOLO%20V3_ABS.pdf
http://umpir.ump.edu.my/id/eprint/39447/

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