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A Comparative Study of Recent Practices and Technologies in Advanced Driver Assistance System

by Busra Jahan Tanu, Md. Shihab Ahmed, Md. Azim Islam, Bilkis Jamal Ferdosi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 28
Year of Publication: 2024
Authors: Busra Jahan Tanu, Md. Shihab Ahmed, Md. Azim Islam, Bilkis Jamal Ferdosi
10.5120/ijca2024923796

Busra Jahan Tanu, Md. Shihab Ahmed, Md. Azim Islam, Bilkis Jamal Ferdosi . A Comparative Study of Recent Practices and Technologies in Advanced Driver Assistance System. International Journal of Computer Applications. 186, 28 ( Jul 2024), 54-66. DOI=10.5120/ijca2024923796

@article{ 10.5120/ijca2024923796,
author = { Busra Jahan Tanu, Md. Shihab Ahmed, Md. Azim Islam, Bilkis Jamal Ferdosi },
title = { A Comparative Study of Recent Practices and Technologies in Advanced Driver Assistance System },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2024 },
volume = { 186 },
number = { 28 },
month = { Jul },
year = { 2024 },
issn = { 0975-8887 },
pages = { 54-66 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number28/a-comparative-study-of-recent-practices-and-technologies-in-advanced-driver-assistance-system/ },
doi = { 10.5120/ijca2024923796 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-07-26T23:00:21.079025+05:30
%A Busra Jahan Tanu
%A Md. Shihab Ahmed
%A Md. Azim Islam
%A Bilkis Jamal Ferdosi
%T A Comparative Study of Recent Practices and Technologies in Advanced Driver Assistance System
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 28
%P 54-66
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Road accidents present a pressing global public health concern particularly impacting low and middle-income countries like Bangladesh. Advanced Driver Assistance Systems (ADAS) can help in the reduction of risks at a significant level. There are few comprehensive reviews of different significant components of ADAS up to early 2021, highlighting strengths, weaknesses, and research gaps in this rapidly evolving field. This article offers a systematic review of high-quality research articles in the field, encompassing publications from March 2021 to December 2023. This review tends to give a clear and concise view of the key advancements in sensor technologies, machine learning techniques used in the system, qualitative assessment of the datasets available, popular performance metrics, and the projection of trends in the coming days. Cameras are found to be the most used sensor technology while working with ADAS. With the advancement of machine learning, the existing literature tends to use several benchmark models instead of sticking to one or more traditional ones. The existing datasets cover various weather scenarios, mostly sunny, rainy, and foggy weather. These datasets are mostly on urban roads and highways. Researchers tend to evaluate the performance of the systems using metrics that rely on confusion matrices. As per this study, it can be said that a completely real-time system is still a crying need. Due to the existence of a diverse range of road scenarios, a dataset covering all of them is not available. Future research can go in the direction of using hybrid sensor technology, focusing on versatile datasets, and using improved machine and deep learning technologies.

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Index Terms

Computer Science
Information Sciences

Keywords

Advanced Driver Assistance System Road Safety Machine Learning Deep Learning

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