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.

Xehetasun bibliografikoak
Egile Nagusiak:	Mahmud, Ishtiaque, Ritu, Sumaia Arefin, Mahmood, Zaki Zawad
Beste egile batzuk:	Chakrabarty, Amitabha
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2024
Gaiak:	YOLOv8 YOLOv5 Automated vehicles YOLOv7 Obstacle detection Navigational intelligence Traffic safety > Bangladesh. Computer vision. Traffic engineering. Automotive engineering.
Sarrera elektronikoa:	http://hdl.handle.net/10361/24349

Antzeko izenburuak

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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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