IMPROVING PEDESTRIAN COUNTING METHODS USING SHAPE FEATURES AND PEDESTRIAN TRAJECTORIES OF LOW-DENSITY LiDAR POINT CLOUD DATA

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Publication Details

Journal
Japanese Journal of JSCE
Published
2026-01-01
DOI
https://doi.org/10.2208/jscejj.25-22002
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
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article

IMPROVING PEDESTRIAN COUNTING METHODS USING SHAPE FEATURES AND PEDESTRIAN TRAJECTORIES OF LOW-DENSITY LiDAR POINT CLOUD DATA

Ryo SUMIYOSHI, Daisuke KAMIYA, Ryuichi IMAI, Wenyuan JIANG et al.
Japanese Journal of JSCE
Music and Audio Processing
article

IMPROVING PEDESTRIAN COUNTING METHODS USING SHAPE FEATURES AND PEDESTRIAN TRAJECTORIES OF LOW-DENSITY LiDAR POINT CLOUD DATA

Ryo SUMIYOSHI, Daisuke KAMIYA, Ryuichi IMAI, Wenyuan JIANG, Yuhei YAMAMOTO, Masaya NAKAHARA, Shu MIURA
article en

Abstract

No abstract available for this paper.
Japanese Journal of JSCEVol. 82(22)
Sustainable cities and communities
Openalex Percentile: Top 6%
Music and Audio Processing
DOISourceOpenAlex
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IMPROVING PEDESTRIAN COUNTING METHODS USING SHAPE FEATURES AND PEDESTRIAN TRAJECTORIES OF LOW-DENSITY LiDAR POINT CLOUD DATA — Ryo SUMIYOSHI, Daisuke KAMIYA, et al. · Japanese Journal of JSCE (2026) | TGRS Research Map | TGRS