Deep learning-based real-time pothole detection for avoiding road accident
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
Hoofdauteurs: | Basher, Rafsan, Ayon, Asif Raihan, Gharamy, Avijit, Zayed, Abdullah Al, Zaman, Md Samin Yeasar Ibna |
---|---|
Andere auteurs: | Uddin, Jia |
Formaat: | Thesis |
Taal: | English |
Gepubliceerd in: |
Brac University
2022
|
Onderwerpen: | |
Online toegang: | http://hdl.handle.net/10361/17354 |
Gelijkaardige items
-
A modern technique to detect potholes by Computer Vision and Deep Learning
door: Saif, Muntasir Mahmud, et al.
Gepubliceerd in: (2023) -
Damaged road detection using Image Processing and Deep Learning
door: Swadesh, Shimran Mahbub, et al.
Gepubliceerd in: (2022) -
Density based traffic control system for a four way intersection
door: Chowdhury, Faizul Bari, et al.
Gepubliceerd in: (2024) -
An efficient approach for recyclable waste detection and classification using image processing techniques
door: Chowdhury, Prabal Kumar, et al.
Gepubliceerd in: (2024) -
An efficient deep learning approach to detect skin Cancer
door: Islam, Ashfaqul, et al.
Gepubliceerd in: (2022)