Vision driven lane changing system of self driving car

Vision driven lane changing system of self driving car

This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.

Bibliografske podrobnosti
Main Authors:	Meshkat, Mashook Mohammad, Mustafa, Shehab, Deen, Tahmid Al, Das, Mrinmoy
Drugi avtorji:	Rahim, A. H. M. Abdur
Format:	Project report
Jezik:	English
Izdano:	Brac University 2024
Teme:	Self-driving car Lane changing Machine learning Object detection Decision criteria Automobiles > Technological innovations Automobiles > Automatic control
Online dostop:	http://hdl.handle.net/10361/23886

Podobne knjige/članki

Self-driving car: a step to the future of mobility
od: Islam, Mohammad Zahirul, et al.
Izdano: (2018)

Responsible driving /

The economics of cars /
od: Cassia, Fabio
Izdano: (2018)

A roadmap to future: PHP Automobiles Limited
od: Aqib, Saidul Karim
Izdano: (2021)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
od: Islam, Roman, et al.
Izdano: (2024)

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

Automobile museum and assembly plant: Pragoti industries ltd. Barabkunda, Chittagong
od: Chowdhury, Tanzir Taher
Izdano: (2011)

Obstacle avoidance and object detection for semi autopilot system of an electric car
od: Sakib, Md. Fahim Shahriar, et al.
Izdano: (2019)

Technical complexity and consumer knowledge as moderators of service quality evaluation in the automobile service industry
od: Andaleeb, Syed Saad, et al.
Izdano: (2016)

Application of CNN based architectures in detection of distracted drivers
od: Arafin, Irfana, et al.
Izdano: (2023)

Automated car parking system with increased security by digital image processing
od: Chowdhury, Md. Tanzir, et al.
Izdano: (2020)

The first local three-wheeler manufacturing initiative in Bangladesh: A scope for Runner Automobiles
od: Niloy, Nayeem Afzal
Izdano: (2023)

The machine that changed the world /
od: Womack, James P.
Izdano: (2007)

Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
od: Mostafa, Tanzim, et al.
Izdano: (2022)

Performance analysis of solar car considering the environmental impact
od: Islam, Mahmudul, et al.
Izdano: (2021)

Modern power electronics and AC drives /
od: Bose, Bimal K.
Izdano: (2002)

Modern power electronics and AC drives /
od: Bose, Bimal K.
Izdano: (2002)

Implementation of safety measures to counter a driver’s drowsiness
od: Zillur, Sheikh Faiyadh, et al.
Izdano: (2024)

Active noise cancellation
od: Rahman, Fabliha, et al.
Izdano: (2022)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
od: Hossain, Prommy Sultana
Izdano: (2022)

Real-time driving monitoring system on a single-board computer utilizing deep neural networks integrated with MiDAS
od: Kaisar, Sazeed, et al.
Izdano: (2024)

Heart disease prediction using machine learning algorithms
od: Ali, Musfiq, et al.
Izdano: (2019)

A deep learning based autonomous electric vehicle on unstructured road conditions
od: Adnan, Ashik, et al.
Izdano: (2021)

Modern electrical drives /
Izdano: (2000)

Identifying hate speech of Bangla language text using natural language processing
od: Rahman, Mushfiqur, et al.
Izdano: (2024)

Public vehicle ETA system using machine learning
od: Kabir, Md. Miraz, et al.
Izdano: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
od: Choudhury, Ahnaf Atef, et al.
Izdano: (2019)

A framework for sentiment analysis: a data-driven approach
od: Islam, Md. Jahedul, et al.
Izdano: (2021)

Analysis of the impact of online education using EEG signals and machine learning algorithms
od: Hoque, Ehsanul, et al.
Izdano: (2021)

Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
od: Al Taawab, Abdullah, et al.
Izdano: (2022)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
od: Toufique, S.M, et al.
Izdano: (2024)

Alumni opportunities using machine learning
od: Siaum, Arshif Sharlimin, et al.
Izdano: (2019)

Machine learning as an indicator for breast cancer prediction
od: Shadman, Tahsin Mohammed, et al.
Izdano: (2019)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
od: Shawan, Naveed Rahman, et al.
Izdano: (2019)

A comparative performance analysis of accident anticipation with deep learning extractors
od: Mostak, Alfi Mashab, et al.
Izdano: (2023)

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
od: Ahmed, Syed Istiaque, et al.
Izdano: (2024)

Observing mega cities to grow from space and predicting its growth using machine learning techniques
od: Chakma, Mitesh, et al.
Izdano: (2018)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
od: Alhossen, Md., et al.
Izdano: (2021)

Pattern recognition with Quantum Support Vector Machine(QSVM) on near term quantum processors.
od: Ahmed, Sajjad
Izdano: (2019)

Analyzing the current market situation and future potential of Rasel Industries Ltd in Mymensingh division
od: Tanveer, Quazi
Izdano: (2020)