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Estimation of preceding vehicle's driving state

Authors: H. Araki; Y. Hiroshima; T. Ito;

Estimation of preceding vehicle's driving state

Abstract

Estimation methods of the driving state (position, velocity, acceleration) and the lane displacement of 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. The running lane of each vehicle is also estimated from their driving state. The effectiveness of the proposed methods is then confirmed by simulations and experiments.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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