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.
Glavni autori: | Mahmud, Ishtiaque, Ritu, Sumaia Arefin, Mahmood, Zaki Zawad |
---|---|
Daljnji autori: | Chakrabarty, Amitabha |
Format: | Disertacija |
Jezik: | English |
Izdano: |
Brac University
2024
|
Teme: | |
Online pristup: | http://hdl.handle.net/10361/24349 |
Similar Items
-
Automatic motor vehicle number plate recognition
od: Saha, Krishno, i dr.
Izdano: (2024) -
Recognising license plate from image data using deep learning
od: Golder, Rupam, i dr.
Izdano: (2023) -
Real-time garments defects detection at the sewing phase to optimize waste cost using YOLOv7, YOLOv7x, YOLOv7-w6 and Pytorch
od: Uddin, Md. Minhaz, i dr.
Izdano: (2023) -
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
od: Moon, Nowrin Tasnim, i dr.
Izdano: (2023) -
Fire and disaster detection with multimodal quadcopter By machine learning
od: Afrin, Anika, i dr.
Izdano: (2023)