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.

ग्रंथसूची विवरण
मुख्य लेखकों:	Mahmud, Ishtiaque, Ritu, Sumaia Arefin, Mahmood, Zaki Zawad
अन्य लेखक:	Chakrabarty, Amitabha
स्वरूप:	थीसिस
भाषा:	English
प्रकाशित:	Brac University 2024
विषय:	YOLOv8 YOLOv5 Automated vehicles YOLOv7 Obstacle detection Navigational intelligence Traffic safety > Bangladesh. Computer vision. Traffic engineering. Automotive engineering.
ऑनलाइन पहुंच:	http://hdl.handle.net/10361/24349

समान संसाधन

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Computer vision-based Bengali sign language to text generation
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Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
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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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Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
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