Prediction of Following Vehicle Trajectory Considering Operation Characteristics of a Human Driver

Hanwool Woo, Hirokazu Madokoro, Kazuhito Sato, Yusuke Tamura, Atsushi Yamashita, Hajime Asama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a novel method to predict the trajectory of a following vehicle, based on the operation characteristics of a driver. If a lead vehicle suddenly decelerates to avoid colliding with interrupting vehicles, it may lead to an accident with the following vehicle. To prevent such accidents, it would be beneficial to predict the future positions of surrounding vehicles. Previous studies have proposed similar prediction methods; however, these studies have not considered the operation characteristics of drivers, even though the prediction performance largely depends on these characteristics. In this research, we assumed a driving scene wherein a human driver follows an autonomous vehicle. The proposed method is implemented in the autonomous vehicle. Consequently, the method is able to predict the trajectory of the following vehicle operated by a human driver. The contribution of this paper is to estimate the operation characteristics of the following driver and to apply the estimated result to obtain the trajectory prediction. It is demonstrated that the proposed method shows high prediction accuracy as compared to the previous methods.

Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages712-717
Number of pages6
ISBN (Electronic)9781728166674
DOIs
Publication statusPublished - 2020 Jan
Externally publishedYes
Event2020 IEEE/SICE International Symposium on System Integration, SII 2020 - Honolulu, United States
Duration: 2020 Jan 122020 Jan 15

Publication series

NameProceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020

Conference

Conference2020 IEEE/SICE International Symposium on System Integration, SII 2020
CountryUnited States
CityHonolulu
Period20/1/1220/1/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Biomedical Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Instrumentation

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