Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments

Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.

Bibliografiske detaljer
Main Authors:	Mahmud, Ishtiaque, Ritu, Sumaia Arefin, Mahmood, Zaki Zawad
Andre forfattere:	Chakrabarty, Amitabha
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	YOLOv8 YOLOv5 Automated vehicles YOLOv7 Obstacle detection Navigational intelligence Traffic safety > Bangladesh. Computer vision. Traffic engineering. Automotive engineering.
Online adgang:	http://hdl.handle.net/10361/24349

Lignende værker

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Automatic waste classification using deep learning and computer vision techniques
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An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system
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Deep learning-based real-time pothole detection for avoiding road accident
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