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.
| Main Authors: | Mahmud, Ishtiaque, Ritu, Sumaia Arefin, Mahmood, Zaki Zawad |
|---|---|
| Outros Autores: | Chakrabarty, Amitabha |
| Formato: | Thesis |
| Idioma: | English |
| Publicado em: |
Brac University
2024
|
| Assuntos: | |
| Acesso em linha: | http://hdl.handle.net/10361/24349 |
Registos relacionados
-
Automatic motor vehicle number plate recognition
Por: Saha, Krishno, et al.
Publicado em: (2024) -
Recognising license plate from image data using deep learning
Por: Golder, Rupam, et al.
Publicado em: (2023) -
Real-time garments defects detection at the sewing phase to optimize waste cost using YOLOv7, YOLOv7x, YOLOv7-w6 and Pytorch
Por: Uddin, Md. Minhaz, et al.
Publicado em: (2023) -
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
Por: Moon, Nowrin Tasnim, et al.
Publicado em: (2023) -
Fire and disaster detection with multimodal quadcopter By machine learning
Por: Afrin, Anika, et al.
Publicado em: (2023)