Classifying pedestrian trajectories by Machine learning using laser sensor data

Kaneko, Hiroyuki; Osaragi, Toshihiro

doi:10.5194/agile-giss-3-8-2022

Articles | Volume 3

Article
Metrics
Related articles

Articles | Volume 3

https://doi.org/10.5194/agile-giss-3-8-2022

Articles | Volume 3

Article
Metrics
Related articles

10 Jun 2022

| 10 Jun 2022

Classifying pedestrian trajectories by Machine learning using laser sensor data

Hiroyuki Kaneko and Toshihiro Osaragi

Hiroyuki Kaneko

Kajima Technical Research Institute, Tokyo, Japan

Toshihiro Osaragi

https://orcid.org/0000-0002-6327-3976

School of Environment and Society, Tokyo Institute of Technology, Tokyo, Japan

Related authors

Show only first author papers Show all papers

Detection and Modeling of Pedestrian Groups Using Laser Sensor Trajectories

Toshihiro Osaragi, Tomona Takeuchi, and Hiroyuki Kaneko

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-4-2026, 267–274, https://doi.org/10.5194/isprs-annals-XI-4-2026-267-2026,https://doi.org/10.5194/isprs-annals-XI-4-2026-267-2026, 2026

Detection and Modeling of Pedestrian Groups Using Laser Sensor Trajectories

Toshihiro Osaragi, Tomona Takeuchi, and Hiroyuki Kaneko

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-4-2026, 267–274, https://doi.org/10.5194/isprs-annals-XI-4-2026-267-2026,https://doi.org/10.5194/isprs-annals-XI-4-2026-267-2026, 2026

Spatial Distribution of Feasible Solutions for Service Facility Location Problems under Uncertainty

Toshihiro Osaragi and Akira Mesaki

AGILE GIScience Ser., 6, 8, https://doi.org/10.5194/agile-giss-6-8-2025,https://doi.org/10.5194/agile-giss-6-8-2025, 2025

Improving building detection accuracy: analysis of building location characteristics in open-access satellite data

Koji Ogino and Toshihiro Osaragi

Abstr. Int. Cartogr. Assoc., 9, 27, https://doi.org/10.5194/ica-abs-9-27-2025,https://doi.org/10.5194/ica-abs-9-27-2025, 2025

Contradiction Hidden in Values of Urban Raster Data

Toshihiro Osaragi and Yoshitsugu Aoki

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-2024, 247–254, https://doi.org/10.5194/isprs-annals-X-4-2024-247-2024,https://doi.org/10.5194/isprs-annals-X-4-2024-247-2024, 2024

Spatiotemporal Interpolation Method for Population Flow Data in Urban Areas

Toshihiro Osaragi, Xianshu Nan, and Maki Kishimoto

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W4-2024, 145–152, https://doi.org/10.5194/isprs-annals-X-4-W4-2024-145-2024,https://doi.org/10.5194/isprs-annals-X-4-W4-2024-145-2024, 2024

APPLICATION OF CELL PHONE STATISTICS FOR ESTIMATING STRANDED PEOPLE BEHAVIOR AFTER SEVERE EARTHQUAKE IN TOKYO

T. Osaragi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 329–336, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-329-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-329-2023, 2023

EVALUATION OF TIME LOSS DUE TO UNEVEN DISTRIBUTION OF RAILWAY PASSENGERS GETTING ON AND OFF

T. Osaragi and H. Miyashita

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W3-2022, 197–204, https://doi.org/10.5194/isprs-annals-X-4-W3-2022-197-2022,https://doi.org/10.5194/isprs-annals-X-4-W3-2022-197-2022, 2022

EVALUATION METHOD FOR INFORMATION CONTENT OF RASTER DATA USING FRACTAL DIMENSION

T. Osaragi

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 75–81, https://doi.org/10.5194/isprs-annals-V-4-2022-75-2022,https://doi.org/10.5194/isprs-annals-V-4-2022-75-2022, 2022

Exploring the Differences Between Tourists and Locals in Urban Settings Through Multi-labeled Geotagged Photos: The Case of Tokyo

Ahmed Derdouri and Toshihiro Osaragi

Proc. Int. Cartogr. Assoc., 4, 26, https://doi.org/10.5194/ica-proc-4-26-2021,https://doi.org/10.5194/ica-proc-4-26-2021, 2021

Upgrading Spatiotemporal Demographic Data by the Integration of Detailed Population Attributes

Toshihiro Osaragi and Ryo Kudo

Adv. Cartogr. GIScience Int. Cartogr. Assoc., 3, 11, https://doi.org/10.5194/ica-adv-3-11-2021,https://doi.org/10.5194/ica-adv-3-11-2021, 2021