Deep learning-based real-time pothole detection for avoiding road accident

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.

Библиографические подробности
Главные авторы:	Basher, Rafsan, Ayon, Asif Raihan, Gharamy, Avijit, Zayed, Abdullah Al, Zaman, Md Samin Yeasar Ibna
Другие авторы:	Uddin, Jia
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2022
Предметы:	Road Pothole Deep learning Image processing Real-time MobileNet Inception- v3 YOLOv5 Deep learning (Machine learning) Image processing > Digital techniques. Cognitive learning theory (Deep learning)
Online-ссылка:	http://hdl.handle.net/10361/17354

Схожие документы

A modern technique to detect potholes by Computer Vision and Deep Learning
по: Saif, Muntasir Mahmud, и др.
Опубликовано: (2023)

Damaged road detection using Image Processing and Deep Learning
по: Swadesh, Shimran Mahbub, и др.
Опубликовано: (2022)

Density based traffic control system for a four way intersection
по: Chowdhury, Faizul Bari, и др.
Опубликовано: (2024)

An efficient approach for recyclable waste detection and classification using image processing techniques
по: Chowdhury, Prabal Kumar, и др.
Опубликовано: (2024)

An efficient deep learning approach to detect skin Cancer
по: Islam, Ashfaqul, и др.
Опубликовано: (2022)

Pothole detection using lightweight network models
по: Abdullah, S. M., и др.
Опубликовано: (2024)

An active-learning based training-schedule for biomedical image segmentation on deep neural networks
по: Hassan, Mehadi, и др.
Опубликовано: (2021)

Prostate cancer detection using deep learning neural network with transfer learning approach
по: Badhon, Ariful Islam Mahmud, и др.
Опубликовано: (2022)

Recognising license plate from image data using deep learning
по: Golder, Rupam, и др.
Опубликовано: (2023)

Corn leaf disease detection using deep convolution neural network
по: Rabbi, Rawhatur, и др.
Опубликовано: (2023)

Image processing based human detection and social distancing measurements with monitoring via fine tuned deep learning and computer vision
по: Datta, Anurag, и др.
Опубликовано: (2022)

An efficient ML approach to detect brain tumor using MRI images
по: Muktadir, MD. Arafat, и др.
Опубликовано: (2024)

Image processing and deep learning approach to evaluate earthquake resistance of urban buildings
по: Ahmed, Yasin, и др.
Опубликовано: (2018)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
по: Sharma, Tanmoyee, и др.
Опубликовано: (2021)

Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
по: Mizan, Mubasshira, и др.
Опубликовано: (2024)

Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
по: Hossain, Mainul, и др.
Опубликовано: (2022)

RetinalNet-500: a newly developed CNN model for eye disease detection
по: Toki, Sadikul Alim, и др.
Опубликовано: (2023)

An efficient deep learning approach to detect citrus leaves disease
по: Emon, Shaharear Hossain, и др.
Опубликовано: (2024)

Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
по: Promita, Samanta Tabassum, и др.
Опубликовано: (2022)

Real-time crime detection using convolutional LSTM and YOLOv7
по: Sakiba, Cyrus, и др.
Опубликовано: (2023)

Structurally and semantically coherent deep image inpainting
по: Sami, Mirza Tanzim, и др.
Опубликовано: (2019)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
по: Sagor, Mostofa Kamal, и др.
Опубликовано: (2021)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
по: Rahman, Aryan, и др.
Опубликовано: (2023)

Document template identification and data extraction using machine learning and deep learning approach
по: Roy, Kaushik, и др.
Опубликовано: (2024)

An efficient deep learning approach to detect skin cancer using image data
по: Chowdhury, Yaser Al Rahman, и др.
Опубликовано: (2023)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
по: Choudhury, Prionto Kumar, и др.
Опубликовано: (2024)

Cancer classification using deep learning from medical image data
по: Monir, Raiyan Janik, и др.
Опубликовано: (2022)

Facial expression recognition: convolutional attentional masking network and ensemble approach
по: Kowsar, Ibna, и др.
Опубликовано: (2021)

An efficient deep learning approach for detecting Alzheimer’s disease using brain images
по: Sani, Mehedi Hasan, и др.
Опубликовано: (2022)

Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
по: Tahamid, Abu
Опубликовано: (2021)

Classification of peripheral blood cell images using deep learning
по: Aadi, Oyshik Ahmed, и др.
Опубликовано: (2024)

Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
по: Mostafa, Tanzim, и др.
Опубликовано: (2022)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
по: Hasan, M. M. Kamrul, и др.
Опубликовано: (2022)

Application of CNN based architectures in detection of distracted drivers
по: Arafin, Irfana, и др.
Опубликовано: (2023)

Analysis of deep learning models on low-light pest detection
по: Irtiza, Md. Samin, и др.
Опубликовано: (2023)

Citrus leaf disease detection by image processing
по: Chowdhury, Mahir Faisal, и др.
Опубликовано: (2024)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
по: Fiona, Driciru, и др.
Опубликовано: (2024)

Intracranial hemorrhage detection using CNN-LSTM fusion model
по: Ahmed, Kazi sabab, и др.
Опубликовано: (2022)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
по: Rayhan, Mohammad, и др.
Опубликовано: (2020)

An interpretable transformer based approach to classify Malaria from blood cell images
по: Islam, Mehafuza, и др.
Опубликовано: (2023)