LiDAR-based Pedestrian-flow Analysis for Crowdedness Equalization

被引：5
|
作者：
Asahara, Akinori [1 ]
Sato, Nobuo [1 ]
Nomiya, Masatsugu [2 ]
Tsuji, Satomi [3 ]
机构：
[1] Hitachi Ltd, Ctr Technol Innovat Syst Engn, Kokubunji, Tokyo, Japan
[2] Hitachi Ltd, Smart Informat Syst Div, Informat & Telecommun Syst Co, Koutou Ku, Tokyo, Japan
[3] Hitachi Ltd, Global Ctr Social Innovat Tokyo, Minato Ku, Tokyo, Japan
来源：
23RD ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2015) | 2015年
关键词：
Trajectory Analysis; Spatio-temporal Data Mining; LiDAR; Pedestrian Tracking; Industrial Experience;
D O I：
10.1145/2820783.2820805
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A highly practical use case of pedestrian-track analysis by using LiDAR is presented in this paper. Many problems arc caused by heavy crowdedness in the management of public facilities, i.e., shopping malls, airports, and so on. One solution is crowdedness equalization by controlling pedestrian flow. We conducted two experimental demonstrations at technical exhibitions to find that factors that determine pedestrian flow. Pedestrian tracks were obtained at an exhibition in 2013 by using a LiDAR-based pedestrian-tracking system first. As a result, new knowledge was gained; the layout of a technical exhibition should be designed to bend the path of a pedestrian flow toward areas where their attention is desired to be. The layout of an exhibition in 2014 was designed to bend the pedestrian path many times so that pedestrians' attention was located diversely. Therefore, pedestrian tracks were successfully obtained; as a result, it was confirmed that crowdedness was successfully equalized.
引用
收藏
页数：10
相关论文
共 50 条
  • [21] LiDAR-based Cooperative Relative Localization
    Dong, Jiqian
    Chen, Qi
    Qu, Deyuan
    Lu, Hongsheng
    Ganlath, Akila
    Yang, Qing
    Chen, Sikai
    Labi, Samuel
    2023 IEEE INTELLIGENT VEHICLES SYMPOSIUM, IV, 2023,
  • [22] LiDAR-based quantification of lava flow susceptibility in the City of Auckland (New Zealand)
    Kereszturi, Gabor
    Procter, Jonathan
    Cronin, Shane J.
    Nemeth, Karoly
    Bebbington, Mark
    Lindsay, Jan
    REMOTE SENSING OF ENVIRONMENT, 2012, 125 : 198 - 213
  • [23] Preliminary analysis of a LiDAR-based landslide inventory in the area of Samobor, Croatia
    Gulam, Vlatko
    Bostjancic, Iris
    Hecej, Nina
    Filipovi, Marina
    Filjak, Radovan
    GEOLOGIA CROATICA, 2022, 75 (01) : 51 - 66
  • [24] LiDAR-Based Map Relative Localization Performance Analysis for Landing on Europa
    Hewitt, Robert A.
    Setterfield, Timothy P.
    Trawny, Nikolas
    2021 IEEE AEROSPACE CONFERENCE (AEROCONF 2021), 2021,
  • [25] Campus Guide: A Lidar-based Mobile Robot
    Liu, Minghao
    Hou, Zhixing
    Sun, Zezhou
    Yin, Ning
    Yang, Hang
    Wang, Ying
    Chu, Zhiqiang
    Kong, Hui
    2019 EUROPEAN CONFERENCE ON MOBILE ROBOTS (ECMR), 2019,
  • [26] Uncooperative pose estimation with a LIDAR-based system
    Opromolla, Roberto
    Fasano, Giancarmine
    Rufino, Giancarlo
    Grassi, Michele
    ACTA ASTRONAUTICA, 2015, 110 : 287 - 297
  • [27] A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI
    Behley, Jens
    Milioto, Andres
    Stachniss, Cyrill
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 13596 - 13603
  • [28] LIDAR-based vehicle tracking for a virtual mirror
    Sergi, M
    Shankwitz, C
    Donath, M
    IEEE IV2003: INTELLIGENT VEHICLES SYMPOSIUM, PROCEEDINGS, 2003, : 333 - 338
  • [29] Automatic LiDAR-based lighting inventory in buildings
    Diaz-Vilarino, L.
    Gonzalez-Jorge, H.
    Martinez-Sanchez, J.
    Lorenzo, H.
    MEASUREMENT, 2015, 73 : 544 - 550
  • [30] Lidar-Based Cooperative SLAM with Different Parameters
    Sunil, Sooraj
    Mozaffari, Saeed
    Rajmeet, Singh
    Shahrrava, Behnam
    Alirezaee, Shahpour
    2022 7TH INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND ROBOTICS RESEARCH, ICMERR, 2022, : 82 - 87
12345