Towards solving perception based autonomous driving assistant system

Towards solving perception based autonomous driving assistant system

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografiske detaljer
Main Authors:	Hossain, Md. Arafat, Rahman, Md. Sazidur, Islam, Md. Jisan Bin, Bhuiyan, Sazzad Alam
Andre forfattere:	Rahman, Md. Khalilur
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2022
Fag:	Object detection Prediction Max pooling Convolutional neural network Machine learning Neural networks (Computer science)
Online adgang:	http://hdl.handle.net/10361/16322

Lignende værker

Analysis of training time optimization for self-driving car using alternate max pooling layers
af: Arefin, Kazi Ridwan, et al.
Udgivet: (2018)

Visual object recognition using deep convolutional neural network
af: Ahmed, Sabbir
Udgivet: (2017)

Plant disease detection using convolutional neural network
af: Hossain, Mohammad Shifat, et al.
Udgivet: (2021)

Detection of skin cancer using Convolutional neural network
af: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et al.
Udgivet: (2020)

Pneumonia Disease detection using the convolutional neural network
af: Ashrafee, Md. Iftid, et al.
Udgivet: (2024)

Malware detection in blockchain using CNN
af: Alam, Afreen, et al.
Udgivet: (2021)

Autonomous fault diagnosis of commercially available PV modules using high-end deep learning frameworks
af: Tasawar, Ihtyaz Kader, et al.
Udgivet: (2021)

Leaf classification by feature extraction using CNN
af: Bhuiyan, Md. Mazharul Islam, et al.
Udgivet: (2020)

Semantic text extraction from CAPTCHA using Neural Networking
af: Chowdhury, Iftekhar Kabir, et al.
Udgivet: (2022)

Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
af: Shuhin, Syed Adiba, et al.
Udgivet: (2019)

Smart surveillance system for identifying bikers without helmets using deep learning
af: Hossain, MD. Iqbal, et al.
Udgivet: (2020)

Crime scene prediction by detecting threatening objects using convolutional neural network
af: Nakib, Mohammad, et al.
Udgivet: (2017)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
af: Ali, Syed Muaz
Udgivet: (2023)

Leveraging robust CNN architectures for real-time object recognition from conveyor belt
af: Moon, Nowrin Tasnim, et al.
Udgivet: (2023)

Tomato leaf disease detection using convolutional neural network
af: Hasan, Md. Riazul, et al.
Udgivet: (2023)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
af: Ferdous, Md.Rubaiat, et al.
Udgivet: (2024)

Efficient image processing and machine learning approach for predicting retinal diseases
af: Hasib, Mehadi Hasan, et al.
Udgivet: (2021)

Single and multi-view 2D image processing for enhanced 3D object reconstruction
af: Ghosh, Swapnil, et al.
Udgivet: (2024)

Analysis of malware prediction based on infection rate using machine learning techniques
af: Zawad, Safir, et al.
Udgivet: (2020)

Bangla license plate recognition using convolutional neural networks (CNN)
af: Rahman, M M Shaifur
Udgivet: (2018)

An in depth analysis of neural network with application in finance
af: Tasnim, Noshin, et al.
Udgivet: (2019)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
af: Datta, Nirjhor, et al.
Udgivet: (2024)

Dynamic image analysis for abnormal behavior detection
af: Ahmed, Md. Ashik, et al.
Udgivet: (2017)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
af: Ifty, Md. Hasin Sarwar, et al.
Udgivet: (2024)

Comparison of deep transfer learning models for cancer diagnosis
af: Joya, Nadia Islam, et al.
Udgivet: (2023)

Smoke detection using deep Convolutional neural network
af: Niloy, Wahidul Hasan, et al.
Udgivet: (2021)

Deep learning based early Glaucoma detection
af: Islam, Aabrar, et al.
Udgivet: (2024)

A system to prevent social violence using convolutional neural network
af: Akter, Sanzida, et al.
Udgivet: (2023)

A computer vision based approach for stalking detection using CNN-LSTM hybrid model
af: Iqbal, Shahriar, et al.
Udgivet: (2023)

Tri-modal ensemble for enhanced Bangla sign language recognition
af: Shams, Khan Abrar, et al.
Udgivet: (2024)

Human activity recognition and authentication system
af: ALam, Md. Zubaer
Udgivet: (2024)

Design and evaluation of convolutional neural network for detection of Alzheimer’s disease using MRI data
af: Mahbub, Riasat, et al.
Udgivet: (2022)

Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
af: Alvi, Md.Waseq Alauddin
Udgivet: (2024)

Skin cancer classification for seven types of skin lesions
af: Rahman, Md. Tawsifur, et al.
Udgivet: (2024)

RansomListener: Ransom call sound investigation using LSTM and CNN Architectures
af: Rahman, Rafeed, et al.
Udgivet: (2021)

Surveillance in Maritime Scenario using Deep-Learning and Swarm Intelligence
af: Islam, Nazmul, et al.
Udgivet: (2022)

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
af: Ishrak, Gazi Hasin, et al.
Udgivet: (2022)

Human Activity Recognition using wearable body sensor by machine learning approach
af: Promi, Sadia Tangim, et al.
Udgivet: (2020)

Incorporating deep features extracted from convolutional neural networks to utilize machine learning classifiers for improved identification of Maize Leaf Disease
af: Khan, Shama, et al.
Udgivet: (2024)

Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
af: Mollah, Md. Shawon, et al.
Udgivet: (2024)