Lane Departure Warning Estimation Using Yaw Acceleration

Lane departure collisions have contributed to the traffic accidents that cause millions of injuries and tens of thousands of casualties per year worldwide. Due to vision-based lane departure warning limitation from environmental conditions that affecting system performance, a model-based vehicle dyn...

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Autores principales:	Poh Ping Em, Hossen J., Eng Kiong Wong
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	lane departure warning estimation yaw acceleration model-based vehicle dynamics framework Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/7d994f6fa1af49a7ba4d2549c7149417
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id	oai:doaj.org-article:7d994f6fa1af49a7ba4d2549c7149417
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spelling	oai:doaj.org-article:7d994f6fa1af49a7ba4d2549c71494172021-12-05T14:10:46ZLane Departure Warning Estimation Using Yaw Acceleration2391-543910.1515/eng-2021-0008https://doaj.org/article/7d994f6fa1af49a7ba4d2549c71494172020-11-01T00:00:00Zhttps://doi.org/10.1515/eng-2021-0008https://doaj.org/toc/2391-5439Lane departure collisions have contributed to the traffic accidents that cause millions of injuries and tens of thousands of casualties per year worldwide. Due to vision-based lane departure warning limitation from environmental conditions that affecting system performance, a model-based vehicle dynamics framework is proposed for estimating the lane departure event by using vehicle dynamics responses. The model-based vehicle dynamics framework mainly consists of a mathematical representation of 9-degree of freedom system, which permitted to pitch, roll, and yaw as well as to move in lateral and longitudinal directions with each tire allowed to rotate on its axle axis. The proposed model-based vehicle dynamics framework is created with a ride model, Calspan tire model, handling model, slip angle, and longitudinal slip subsystems. The vehicle speed and steering wheel angle datasets are used as the input in vehicle dynamics simulation for predicting lane departure event. Among the simulated vehicle dynamic responses, the yaw acceleration response is observed to provide earlier insight in predicting the future lane departure event compared to other vehicle dynamics responses. The proposed model-based vehicle dynamics framework had shown the effectiveness in estimating lane departure using steering wheel angle and vehicle speed inputs.Poh Ping EmHossen J.Eng Kiong WongDe Gruyterarticlelane departure warning estimationyaw accelerationmodel-based vehicle dynamics frameworkEngineering (General). Civil engineering (General)TA1-2040ENOpen Engineering, Vol 11, Iss 1, Pp 102-111 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	lane departure warning estimation yaw acceleration model-based vehicle dynamics framework Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	lane departure warning estimation yaw acceleration model-based vehicle dynamics framework Engineering (General). Civil engineering (General) TA1-2040 Poh Ping Em Hossen J. Eng Kiong Wong Lane Departure Warning Estimation Using Yaw Acceleration
description	Lane departure collisions have contributed to the traffic accidents that cause millions of injuries and tens of thousands of casualties per year worldwide. Due to vision-based lane departure warning limitation from environmental conditions that affecting system performance, a model-based vehicle dynamics framework is proposed for estimating the lane departure event by using vehicle dynamics responses. The model-based vehicle dynamics framework mainly consists of a mathematical representation of 9-degree of freedom system, which permitted to pitch, roll, and yaw as well as to move in lateral and longitudinal directions with each tire allowed to rotate on its axle axis. The proposed model-based vehicle dynamics framework is created with a ride model, Calspan tire model, handling model, slip angle, and longitudinal slip subsystems. The vehicle speed and steering wheel angle datasets are used as the input in vehicle dynamics simulation for predicting lane departure event. Among the simulated vehicle dynamic responses, the yaw acceleration response is observed to provide earlier insight in predicting the future lane departure event compared to other vehicle dynamics responses. The proposed model-based vehicle dynamics framework had shown the effectiveness in estimating lane departure using steering wheel angle and vehicle speed inputs.
format	article
author	Poh Ping Em Hossen J. Eng Kiong Wong
author_facet	Poh Ping Em Hossen J. Eng Kiong Wong
author_sort	Poh Ping Em
title	Lane Departure Warning Estimation Using Yaw Acceleration
title_short	Lane Departure Warning Estimation Using Yaw Acceleration
title_full	Lane Departure Warning Estimation Using Yaw Acceleration
title_fullStr	Lane Departure Warning Estimation Using Yaw Acceleration
title_full_unstemmed	Lane Departure Warning Estimation Using Yaw Acceleration
title_sort	lane departure warning estimation using yaw acceleration
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/7d994f6fa1af49a7ba4d2549c7149417
work_keys_str_mv	AT pohpingem lanedeparturewarningestimationusingyawacceleration AT hossenj lanedeparturewarningestimationusingyawacceleration AT engkiongwong lanedeparturewarningestimationusingyawacceleration
_version_	1718371731354157056

Lane Departure Warning Estimation Using Yaw Acceleration

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