A Development of a Basic Walking Simulation in As-built Environments by Combining Digital Human Model with Large-scale 3-Dimensional Laser scan

DOI 2 References Open Access

Bibliographic Information

Other Title
  • 大規模3次元レーザ計測とデジタルヒューマンモデルを活用したas-built環境内の基本歩行シミュレーション技術の開発

Abstract

Recently, to realize safer and more access-friendly environments, the accessibility evaluation for unhealthy people such as the elderly and disabled is becoming more and more important. To realize the reasonable and reliable accessibility evaluation, in the future, the human behavior simulation in 3-dimentional environments have a great potential. However, manually building such 3D environment models for the simulation is costly and time consuming, and it is sometimes inaccurate and do not necessarily capture the as-built environments. Additionally, the pedestrian model should also simulate detailed and various human motions as recent digital human simulations do. Therefore, our final goal is to realize the accessibility evaluation of “as-built” environments based on the detailed human behavior simulation. To achieve the goal, in this paper, we propose a method where as-built 3D environment models can be constructed in a fully automatic way from laser-scanned 3D point clouds measured from as-built environments. Additionally, we propose a basic walking simulation function of the digital human model (DHM) in the as-built environment models. Our proposed simulation enabled a DHM to automatically walk utilizing the functions of the global path findings, the walking path location control, the local collision avoidance and the walking motion generation. Moreover, we applied our modeling and simulation algorithms to the complex as-built environments : a two-storey indoor environment which includes caracoles and stairs, and an outdoor environment which includes slopes. The efficiency and effectiveness of the modeling and simulation were confirmed.

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Details 詳細情報について

  • CRID
    1390282679805924096
  • NII Article ID
    130004679117
  • DOI
    10.2493/jjspe.80.755
  • ISSN
    1882675X
    09120289
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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