A deep learning based autonomous electric vehicle on unstructured road conditions
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Main Authors: | , , , |
---|---|
其他作者: | |
格式: | Thesis |
語言: | English |
出版: |
Brac University
2021
|
主題: | |
在線閱讀: | http://hdl.handle.net/10361/15726 |
id |
10361-15726 |
---|---|
record_format |
dspace |
spelling |
10361-157262022-01-26T10:08:18Z A deep learning based autonomous electric vehicle on unstructured road conditions Adnan, Ashik Rahman, G M Mahbubur Hossain, Md. Mahafuj Mim, Mahfuza Sultana Rahman, Md. Khalilur Department of Computer Science and Engineering, Brac University Autonomous vehicle Electric vehicle Collision avoidance Road safety Lane detection Vehicle detection Sensors Machine learning Artificial intelligence This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 23-24). Autonomous driving vehicles are too known as driver-less cars which is one of the foremost astounding advances of the twenty-first century, anticipated to be driverless, effective, and crash dodging ideal urban cars of the future. Autonomous cars actually sense the environment, navigate and fulfill human transportation capabilities without any human inclusion. Cameras, radar, lidar, GPS, and navigational pathways help this type of vehicle detect its surroundings[6]. Even when the conditions alter, advanced control systems interpret sensory data to maintain their locations. Autonomous vehicles are on their way to completely replacing the world’s transportation system. To reach this goal automobile industries have begun working in this zone to realize the potential and unravel the challenges as of now. A few companies have also started their trail. It will aid in reducing traffic, reducing pollution, avoiding maximum accidents, saving time, conserving energy, and improving human safety. As a result, with the aim and vision of eradicating these challenges from our country, we are focusing on an independent car that will assist us in saving ourselves from the daily revelations we generally confront on the road. Besides, it is high time we began working in Bangladesh on a driver-less vehicle. Ashik Adnan G M Mahbubur Rahman Md. Mahafuj Hossain Mahfuza Sultana Mim B. Computer Science 2021-12-12T09:08:38Z 2021-12-12T09:08:38Z 2021 2021-09 Thesis ID 17101535 ID 16101035 ID 17201125 ID 18101703 http://hdl.handle.net/10361/15726 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 24 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
Autonomous vehicle Electric vehicle Collision avoidance Road safety Lane detection Vehicle detection Sensors Machine learning Artificial intelligence |
spellingShingle |
Autonomous vehicle Electric vehicle Collision avoidance Road safety Lane detection Vehicle detection Sensors Machine learning Artificial intelligence Adnan, Ashik Rahman, G M Mahbubur Hossain, Md. Mahafuj Mim, Mahfuza Sultana A deep learning based autonomous electric vehicle on unstructured road conditions |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
author2 |
Rahman, Md. Khalilur |
author_facet |
Rahman, Md. Khalilur Adnan, Ashik Rahman, G M Mahbubur Hossain, Md. Mahafuj Mim, Mahfuza Sultana |
format |
Thesis |
author |
Adnan, Ashik Rahman, G M Mahbubur Hossain, Md. Mahafuj Mim, Mahfuza Sultana |
author_sort |
Adnan, Ashik |
title |
A deep learning based autonomous electric vehicle on unstructured road conditions |
title_short |
A deep learning based autonomous electric vehicle on unstructured road conditions |
title_full |
A deep learning based autonomous electric vehicle on unstructured road conditions |
title_fullStr |
A deep learning based autonomous electric vehicle on unstructured road conditions |
title_full_unstemmed |
A deep learning based autonomous electric vehicle on unstructured road conditions |
title_sort |
deep learning based autonomous electric vehicle on unstructured road conditions |
publisher |
Brac University |
publishDate |
2021 |
url |
http://hdl.handle.net/10361/15726 |
work_keys_str_mv |
AT adnanashik adeeplearningbasedautonomouselectricvehicleonunstructuredroadconditions AT rahmangmmahbubur adeeplearningbasedautonomouselectricvehicleonunstructuredroadconditions AT hossainmdmahafuj adeeplearningbasedautonomouselectricvehicleonunstructuredroadconditions AT mimmahfuzasultana adeeplearningbasedautonomouselectricvehicleonunstructuredroadconditions AT adnanashik deeplearningbasedautonomouselectricvehicleonunstructuredroadconditions AT rahmangmmahbubur deeplearningbasedautonomouselectricvehicleonunstructuredroadconditions AT hossainmdmahafuj deeplearningbasedautonomouselectricvehicleonunstructuredroadconditions AT mimmahfuzasultana deeplearningbasedautonomouselectricvehicleonunstructuredroadconditions |
_version_ |
1814307271561183232 |