Estimation of preceding vehicle's driving state

Hideo Araki; Yasuhisa Hiroshima; Toshio Ito

Estimation of preceding vehicle's driving state

Hideo Araki, Yasuhisa Hiroshima, Toshio Ito

Research output: Contribution to conference › Paper › peer-review

Abstract

Estimation methods of the driving state (position, velocity, acceleration) and the lane displacement of the forward vehicles are proposed. The lane displacement denotes the lateral displacement from the host vehicle's running lane. The driving state of each vehicle is estimated using Kalman filter, and it is corrected in the case that the estimation error becomes large which means the acceleration change of the vehicle. And also the running lane of each vehicle is estimated from their driving state. Then the effect of the proposed methods is confirmed by simulations and experiments.

Original language	English
Pages	242-247
Number of pages	6
Publication status	Published - 1997 Dec 1
Externally published	Yes
Event	Proceedings of the 1997 IEEE Conference on Intelligent Transportation Systems, ITSC - Boston, MA, USA Duration: 1997 Nov 9 → 1997 Nov 12

Other

Other	Proceedings of the 1997 IEEE Conference on Intelligent Transportation Systems, ITSC
City	Boston, MA, USA
Period	97/11/9 → 97/11/12

ASJC Scopus subject areas

Automotive Engineering
Mechanical Engineering
Computer Science Applications

Cite this

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title = "Estimation of preceding vehicle's driving state",

abstract = "Estimation methods of the driving state (position, velocity, acceleration) and the lane displacement of the forward vehicles are proposed. The lane displacement denotes the lateral displacement from the host vehicle's running lane. The driving state of each vehicle is estimated using Kalman filter, and it is corrected in the case that the estimation error becomes large which means the acceleration change of the vehicle. And also the running lane of each vehicle is estimated from their driving state. Then the effect of the proposed methods is confirmed by simulations and experiments.",

author = "Hideo Araki and Yasuhisa Hiroshima and Toshio Ito",

year = "1997",

month = dec,

day = "1",

language = "English",

pages = "242--247",

note = "Proceedings of the 1997 IEEE Conference on Intelligent Transportation Systems, ITSC ; Conference date: 09-11-1997 Through 12-11-1997",

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AU - Araki, Hideo

AU - Hiroshima, Yasuhisa

AU - Ito, Toshio

PY - 1997/12/1

Y1 - 1997/12/1

N2 - Estimation methods of the driving state (position, velocity, acceleration) and the lane displacement of the forward vehicles are proposed. The lane displacement denotes the lateral displacement from the host vehicle's running lane. The driving state of each vehicle is estimated using Kalman filter, and it is corrected in the case that the estimation error becomes large which means the acceleration change of the vehicle. And also the running lane of each vehicle is estimated from their driving state. Then the effect of the proposed methods is confirmed by simulations and experiments.

AB - Estimation methods of the driving state (position, velocity, acceleration) and the lane displacement of the forward vehicles are proposed. The lane displacement denotes the lateral displacement from the host vehicle's running lane. The driving state of each vehicle is estimated using Kalman filter, and it is corrected in the case that the estimation error becomes large which means the acceleration change of the vehicle. And also the running lane of each vehicle is estimated from their driving state. Then the effect of the proposed methods is confirmed by simulations and experiments.

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M3 - Paper

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T2 - Proceedings of the 1997 IEEE Conference on Intelligent Transportation Systems, ITSC

Y2 - 9 November 1997 through 12 November 1997

ER -

Estimation of preceding vehicle's driving state

Abstract

Other

ASJC Scopus subject areas

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