Risk Prediction Technology using the Context of the Driving Environment

DOI Open Access

Bibliographic Information

Other Title
  • 走行環境の特徴を利用した危険予測技術

Abstract

<p>We have worked on developing the technology to predict potential risks, aiming for realizing Mazda Co-Pilot Concept. In this paper, we describe the prediction of lane changes and run-out of pedestrians or cyclists. In the prediction of lane change, we applied a model of the gap between vehicles where a prediction target decides to change lanes. By adjusting the parameters to the prediction target while driving, we achieved a prediction time faster than the target of 2.0 seconds. In the prediction of run-out, it is required to identify what the target is, according to the previous research to predict risks on environment. In order to make effective use of the research, we worked on a technique to predict whether the target of run-out is a pedestrian or a bicycle based on environmental features. By developing a model that can explain the prediction statistically with factual data, it became clear that environmental features influence the behavior of pedestrians and cyclists.</p>

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Details 詳細情報について

  • CRID
    1390572512009497472
  • NII Article ID
    130008158387
  • DOI
    10.34338/mazdagihou.38.0_98
  • ISSN
    21863490
    02880601
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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