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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Mahmud, Ishtiaque, Ritu, Sumaia Arefin, Mahmood, Zaki Zawad
Άλλοι συγγραφείς:	Chakrabarty, Amitabha
Μορφή:	Thesis
Γλώσσα:	English
Έκδοση:	Brac University 2024
Θέματα:	YOLOv8 YOLOv5 Automated vehicles YOLOv7 Obstacle detection Navigational intelligence Traffic safety > Bangladesh. Computer vision. Traffic engineering. Automotive engineering.
Διαθέσιμο Online:	http://hdl.handle.net/10361/24349

Παρόμοια τεκμήρια

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Impact of background utilization and background traffic on the foreground applications in a wide area network
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Automatic waste classification using deep learning and computer vision techniques
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