Potential field based motion planning with steering control and DYC for ADAS

In this study, the development of motion planning and control for collision avoidance driver assistance systems is presented. A potential field approach has been used in formulating the collision avoidance algorithm based on predicted vehicle motion. Then, to realize the advanced driver assistance s...

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Published in:Telkomnika (Telecommunication Computing Electronics and Control)
Main Author: Wahid N.; Zamzuri H.; Hassan N.; Rahman M.A.A.
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020205645&doi=10.12928%2fTELKOMNIKA.v15i2.6132&partnerID=40&md5=77f8094bc9ce9cfc11b2d62e771d5df1
id 2-s2.0-85020205645
spelling 2-s2.0-85020205645
Wahid N.; Zamzuri H.; Hassan N.; Rahman M.A.A.
Potential field based motion planning with steering control and DYC for ADAS
2017
Telkomnika (Telecommunication Computing Electronics and Control)
15
2
10.12928/TELKOMNIKA.v15i2.6132
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020205645&doi=10.12928%2fTELKOMNIKA.v15i2.6132&partnerID=40&md5=77f8094bc9ce9cfc11b2d62e771d5df1
In this study, the development of motion planning and control for collision avoidance driver assistance systems is presented. A potential field approach has been used in formulating the collision avoidance algorithm based on predicted vehicle motion. Then, to realize the advanced driver assistance systems (ADAS) for collision avoidance, steering control system and direct yaw moment control (DYC) is designed to follow the desired vehicle motion. Performance evaluation is conducted in simulation environment in term of its performance in avoiding the obstacles. Simulation results show that the vehicle collision avoidance assistance systems can successfully complete the avoidance behavior without colliding. © 2017 Universitas Ahmad Dahlan.
Universitas Ahmad Dahlan
16936930
English
Article
All Open Access; Green Open Access; Hybrid Gold Open Access
author Wahid N.; Zamzuri H.; Hassan N.; Rahman M.A.A.
spellingShingle Wahid N.; Zamzuri H.; Hassan N.; Rahman M.A.A.
Potential field based motion planning with steering control and DYC for ADAS
author_facet Wahid N.; Zamzuri H.; Hassan N.; Rahman M.A.A.
author_sort Wahid N.; Zamzuri H.; Hassan N.; Rahman M.A.A.
title Potential field based motion planning with steering control and DYC for ADAS
title_short Potential field based motion planning with steering control and DYC for ADAS
title_full Potential field based motion planning with steering control and DYC for ADAS
title_fullStr Potential field based motion planning with steering control and DYC for ADAS
title_full_unstemmed Potential field based motion planning with steering control and DYC for ADAS
title_sort Potential field based motion planning with steering control and DYC for ADAS
publishDate 2017
container_title Telkomnika (Telecommunication Computing Electronics and Control)
container_volume 15
container_issue 2
doi_str_mv 10.12928/TELKOMNIKA.v15i2.6132
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020205645&doi=10.12928%2fTELKOMNIKA.v15i2.6132&partnerID=40&md5=77f8094bc9ce9cfc11b2d62e771d5df1
description In this study, the development of motion planning and control for collision avoidance driver assistance systems is presented. A potential field approach has been used in formulating the collision avoidance algorithm based on predicted vehicle motion. Then, to realize the advanced driver assistance systems (ADAS) for collision avoidance, steering control system and direct yaw moment control (DYC) is designed to follow the desired vehicle motion. Performance evaluation is conducted in simulation environment in term of its performance in avoiding the obstacles. Simulation results show that the vehicle collision avoidance assistance systems can successfully complete the avoidance behavior without colliding. © 2017 Universitas Ahmad Dahlan.
publisher Universitas Ahmad Dahlan
issn 16936930
language English
format Article
accesstype All Open Access; Green Open Access; Hybrid Gold Open Access
record_format scopus
collection Scopus
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