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Insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook

A few decades ago, the idea of a car driving without human assistance was something inconceivable. With the advent of deep learning-based machine learning in artificial intelligence, this imaginary idea has become part of our life. Like in other fields, these technological revolutions have brought d...

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Main Authors:	Hafeez, F., Sheikh, U. U., Alkhaldi, N., Al Garni, H. Z., Arfeen, Z. A., A. Khalid, S.
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/93452/1/UsmanUllahSheikh2020_InsightsandStrategiesforanAutonomousVehicle.pdf http://eprints.utm.my/id/eprint/93452/ http://dx.doi.org/10.1109/ACCESS.2020.3010940
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spelling	my.utm.934522021-11-30T08:21:13Z http://eprints.utm.my/id/eprint/93452/ Insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook Hafeez, F. Sheikh, U. U. Alkhaldi, N. Al Garni, H. Z. Arfeen, Z. A. A. Khalid, S. TK Electrical engineering. Electronics Nuclear engineering A few decades ago, the idea of a car driving without human assistance was something inconceivable. With the advent of deep learning-based machine learning in artificial intelligence, this imaginary idea has become part of our life. Like in other fields, these technological revolutions have brought drastic changes to the field of automated driving systems. The autonomous vehicle is in the transition state between level 3 and level 4 of automation, but many mysteries are still waiting to be solved. Understanding the environment as precisely as a human driver is still far in the future. To attain human perception requires the capturing of extensive surrounding information that depends on the onboard sensors installed on the vehicle. Because the recent autonomous vehicle is equipped with several sensors, it captures surrounding information in diverse forms. Combining these multi-domain data with sensor fusion is the open area of research that is considered in this paper. Along with sensor fusion, another area of prime importance that is necessary to be explored is the prediction of pedestrian intentions. Though the study of the prediction of a pedestrian's intentions started approximately fifteen years ago, most of the research is based on detection rather than intention. Furthermore, this paper also discusses related research in the field of prediction of the pedestrian's intentions. At the end of the article, this review paper includes open questions, challenges, and proposed solutions. Institute of Electrical and Electronics Engineers Inc. 2020 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/93452/1/UsmanUllahSheikh2020_InsightsandStrategiesforanAutonomousVehicle.pdf Hafeez, F. and Sheikh, U. U. and Alkhaldi, N. and Al Garni, H. Z. and Arfeen, Z. A. and A. Khalid, S. (2020) Insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook. IEEE Access, 8 . ISSN 2169-3536 http://dx.doi.org/10.1109/ACCESS.2020.3010940 DOI: 10.1109/ACCESS.2020.3010940
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Hafeez, F. Sheikh, U. U. Alkhaldi, N. Al Garni, H. Z. Arfeen, Z. A. A. Khalid, S. Insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook
description	A few decades ago, the idea of a car driving without human assistance was something inconceivable. With the advent of deep learning-based machine learning in artificial intelligence, this imaginary idea has become part of our life. Like in other fields, these technological revolutions have brought drastic changes to the field of automated driving systems. The autonomous vehicle is in the transition state between level 3 and level 4 of automation, but many mysteries are still waiting to be solved. Understanding the environment as precisely as a human driver is still far in the future. To attain human perception requires the capturing of extensive surrounding information that depends on the onboard sensors installed on the vehicle. Because the recent autonomous vehicle is equipped with several sensors, it captures surrounding information in diverse forms. Combining these multi-domain data with sensor fusion is the open area of research that is considered in this paper. Along with sensor fusion, another area of prime importance that is necessary to be explored is the prediction of pedestrian intentions. Though the study of the prediction of a pedestrian's intentions started approximately fifteen years ago, most of the research is based on detection rather than intention. Furthermore, this paper also discusses related research in the field of prediction of the pedestrian's intentions. At the end of the article, this review paper includes open questions, challenges, and proposed solutions.
format	Article
author	Hafeez, F. Sheikh, U. U. Alkhaldi, N. Al Garni, H. Z. Arfeen, Z. A. A. Khalid, S.
author_facet	Hafeez, F. Sheikh, U. U. Alkhaldi, N. Al Garni, H. Z. Arfeen, Z. A. A. Khalid, S.
author_sort	Hafeez, F.
title	Insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook
title_short	Insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook
title_full	Insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook
title_fullStr	Insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook
title_full_unstemmed	Insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook
title_sort	insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2020
url	http://eprints.utm.my/id/eprint/93452/1/UsmanUllahSheikh2020_InsightsandStrategiesforanAutonomousVehicle.pdf http://eprints.utm.my/id/eprint/93452/ http://dx.doi.org/10.1109/ACCESS.2020.3010940
_version_	1718926070087942144
score	13.211869

Insights and strategies for an autonomous vehicle with a sensor fusion innovation: a fictional outlook

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