Fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios

Collision avoidance is an important requirement for safe and autonomous driving in modern transportation system. In this paper, we present a fuzzy based control approach for smart and safe obstacle avoidance in complicated traffic scenario where there are static and dynamic obstacles (e.g. broken-do...

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Main Authors:	Rashed, Almutairi Saleh, Faris, Waleed Fekry, Fatai, Sado
Format:	Conference or Workshop Item
Language:	English English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2019
Subjects:	TL1 Motor vehicles
Online Access:	http://irep.iium.edu.my/72682/ http://irep.iium.edu.my/72682/ http://irep.iium.edu.my/72682/1/72682_Fuzzy-based%20collision%20avoidance.pdf http://irep.iium.edu.my/72682/2/72682_Fuzzy-based%20collision%20avoidance_SCOPUS.pdf http://irep.iium.edu.my/72682/3/72682_Fuzzy-based%20collision%20avoidance_WOS.pdf

id	iium-72682
recordtype	eprints
spelling	iium-726822019-06-18T01:28:07Z http://irep.iium.edu.my/72682/ Fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios Rashed, Almutairi Saleh Faris, Waleed Fekry Fatai, Sado TL1 Motor vehicles Collision avoidance is an important requirement for safe and autonomous driving in modern transportation system. In this paper, we present a fuzzy based control approach for smart and safe obstacle avoidance in complicated traffic scenario where there are static and dynamic obstacles (e.g. broken-down vehicles, wrong parking road-side vehicles, or moving vehicles, etc.) The fuzzy system makes an optimal decision to control the car throttle, braking, and steering to avoid collision using the available information on the road map (i.e. the distance to obstacles, the current traffic in the neighbouring lanes, the velocity of the front and rear car, etc.). Simulation results from three different scenarios involving a combination of dynamic and static or broken-down vehicles show that the fuzzy controlled car can effectively avoid obstacle or collision in complicated traffic situations. ©2018 IEEE. Institute of Electrical and Electronics Engineers Inc. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/72682/1/72682_Fuzzy-based%20collision%20avoidance.pdf application/pdf en http://irep.iium.edu.my/72682/2/72682_Fuzzy-based%20collision%20avoidance_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/72682/3/72682_Fuzzy-based%20collision%20avoidance_WOS.pdf Rashed, Almutairi Saleh and Faris, Waleed Fekry and Fatai, Sado (2019) Fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios. In: 2018 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2018), 20th Oct. 2018, Shah Alam, Selangor. https://ieeexplore.ieee.org/document/8603680
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TL1 Motor vehicles
spellingShingle	TL1 Motor vehicles Rashed, Almutairi Saleh Faris, Waleed Fekry Fatai, Sado Fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios
description	Collision avoidance is an important requirement for safe and autonomous driving in modern transportation system. In this paper, we present a fuzzy based control approach for smart and safe obstacle avoidance in complicated traffic scenario where there are static and dynamic obstacles (e.g. broken-down vehicles, wrong parking road-side vehicles, or moving vehicles, etc.) The fuzzy system makes an optimal decision to control the car throttle, braking, and steering to avoid collision using the available information on the road map (i.e. the distance to obstacles, the current traffic in the neighbouring lanes, the velocity of the front and rear car, etc.). Simulation results from three different scenarios involving a combination of dynamic and static or broken-down vehicles show that the fuzzy controlled car can effectively avoid obstacle or collision in complicated traffic situations. ©2018 IEEE.
format	Conference or Workshop Item
author	Rashed, Almutairi Saleh Faris, Waleed Fekry Fatai, Sado
author_facet	Rashed, Almutairi Saleh Faris, Waleed Fekry Fatai, Sado
author_sort	Rashed, Almutairi Saleh
title	Fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios
title_short	Fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios
title_full	Fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios
title_fullStr	Fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios
title_full_unstemmed	Fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios
title_sort	fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2019
url	http://irep.iium.edu.my/72682/ http://irep.iium.edu.my/72682/ http://irep.iium.edu.my/72682/1/72682_Fuzzy-based%20collision%20avoidance.pdf http://irep.iium.edu.my/72682/2/72682_Fuzzy-based%20collision%20avoidance_SCOPUS.pdf http://irep.iium.edu.my/72682/3/72682_Fuzzy-based%20collision%20avoidance_WOS.pdf
first_indexed	2023-09-18T21:43:00Z
last_indexed	2023-09-18T21:43:00Z
_version_	1777413264894853120

Fuzzy-based collision avoidance system for autonomous driving in complicated traffic scenarios

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