Lane-changing feature extraction using multisensor integration

Hanwool Woo, Yonghoon Ji, Hitoshi Kono, Yusuke Tamura, Yasuhide Kuroda, Takashi Sugano, Yasunori Yamamoto, Atsushi Yamashita, Hajime Asama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


We propose a feature extraction method for lane changes of other traffic participants. According to previous research, over 90 % of car crashes are caused by human mistakes, and lane changes are the main factor. Therefore, if an intelligent system can predict a lane change and alarm a driver before another vehicle crosses the center line, this can contribute to reducing the accident rate. The main contribution of this work is to propose a feature extraction method using the multisensor system which consists of a position sensor and a laser scanner with line markings information. For a lane change prediction of other traffic participants, the most effective features are a lateral position and velocity with respect to a center line. We installed the sensor system to the primary vehicle and measured positions of other traffic participants while the primary vehicle drives on a highway. We extracted the features as the distance with respect to the center line and the lateral velocity of other vehicles using the measurement data. We confirmed that our feature extraction method has an enough accuracy for the lane change prediction.

Original languageEnglish
Title of host publicationICCAS 2016 - 2016 16th International Conference on Control, Automation and Systems, Proceedings
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9788993215120
Publication statusPublished - 2016 Jan 24
Event16th International Conference on Control, Automation and Systems, ICCAS 2016 - Gyeongju, Korea, Republic of
Duration: 2016 Oct 162016 Oct 19

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833


Conference16th International Conference on Control, Automation and Systems, ICCAS 2016
Country/TerritoryKorea, Republic of


  • Feature extraction
  • Lane change prediction
  • Multisensor integration


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