Normalizing images in various weather and lighting conditions using Pix2Pix GAN

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliographische Detailangaben
Hauptverfasser:	Tasnim, Sanjida, Mostafa, Ashif Mahmud, Morshed, Azmain, Shaiyaz, Namreen
Weitere Verfasser:	Alam, Md. Ashraful
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	Autonomous vehicles Image normalization Color vision Generative Adversarial Networks GAN Object detection Machine learning Generative programming (Computer science) Automated vehicles
Online Zugang:	http://hdl.handle.net/10361/23637

id	10361-23637
record_format	dspace
spelling	10361-236372024-07-02T21:02:58Z Normalizing images in various weather and lighting conditions using Pix2Pix GAN Tasnim, Sanjida Mostafa, Ashif Mahmud Morshed, Azmain Shaiyaz, Namreen Alam, Md. Ashraful Alam, Md. Golam Rabiul Department of Computer Science and Engineering, Brac University Autonomous vehicles Image normalization Color vision Generative Adversarial Networks GAN Object detection Machine learning Generative programming (Computer science) Automated vehicles This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 39-41). Autonomous vehicles are widely regarded as the future of transportation due to its possible uses in a myriad of applications. In recent years, perception systems in driverless cars have had reasonable development through the various implementations of object detection systems with deep-learning algorithms. Noticeable progress has been made in this field of study as many isolated and multi-model systems have been developed and/or proposed to help overcome the shortcomings of the sensors and detection algorithms. These include research on sensing objects under varying environmental conditions (illumination, refractive indexes, weather conditions) as well as detection and removal of noise, clutter, and camouflage from the collected sensory inputs. However, in its current state, perception systems in autonomous vehicles are still incapable of accurately detecting objects in real-life scenarios using its visual/thermal camera, LiDAR, radar, and other sensors. Additionally, most systems lack the robustness to perform well under any given condition. Hence, this paper proposes to use advanced color vision techniques and Generative Adversarial Networks (GAN) to produce reconstructed images that can improve the accuracy of object detection systems for more precise predictions. Sanjida Tasnim Ashif Mahmud Mostafa Azmain Morshed Namreen Shaiyaz B.Sc. in Computer Science 2024-07-02T06:41:08Z 2024-07-02T06:41:08Z ©2023 2024-01 Thesis ID 20201039 ID 23241036 ID 22141050 ID 20201086 http://hdl.handle.net/10361/23637 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. 53 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Autonomous vehicles Image normalization Color vision Generative Adversarial Networks GAN Object detection Machine learning Generative programming (Computer science) Automated vehicles
spellingShingle	Autonomous vehicles Image normalization Color vision Generative Adversarial Networks GAN Object detection Machine learning Generative programming (Computer science) Automated vehicles Tasnim, Sanjida Mostafa, Ashif Mahmud Morshed, Azmain Shaiyaz, Namreen Normalizing images in various weather and lighting conditions using Pix2Pix GAN
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
author2	Alam, Md. Ashraful
author_facet	Alam, Md. Ashraful Tasnim, Sanjida Mostafa, Ashif Mahmud Morshed, Azmain Shaiyaz, Namreen
format	Thesis
author	Tasnim, Sanjida Mostafa, Ashif Mahmud Morshed, Azmain Shaiyaz, Namreen
author_sort	Tasnim, Sanjida
title	Normalizing images in various weather and lighting conditions using Pix2Pix GAN
title_short	Normalizing images in various weather and lighting conditions using Pix2Pix GAN
title_full	Normalizing images in various weather and lighting conditions using Pix2Pix GAN
title_fullStr	Normalizing images in various weather and lighting conditions using Pix2Pix GAN
title_full_unstemmed	Normalizing images in various weather and lighting conditions using Pix2Pix GAN
title_sort	normalizing images in various weather and lighting conditions using pix2pix gan
publisher	Brac University
publishDate	2024
url	http://hdl.handle.net/10361/23637
work_keys_str_mv	AT tasnimsanjida normalizingimagesinvariousweatherandlightingconditionsusingpix2pixgan AT mostafaashifmahmud normalizingimagesinvariousweatherandlightingconditionsusingpix2pixgan AT morshedazmain normalizingimagesinvariousweatherandlightingconditionsusingpix2pixgan AT shaiyaznamreen normalizingimagesinvariousweatherandlightingconditionsusingpix2pixgan
_version_	1814308273050877952

Normalizing images in various weather and lighting conditions using Pix2Pix GAN

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