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A human tracking and sensing platform for enabling smart city applications

Published: 04 January 2018 Publication History

Abstract

The progress of IoT technologies, which connect, control and operate everything in the physical world, is expected to realize secure and convenient societies and communities, and embodies a variety of smart city applications. However, not a few smart city applications are also "human-centric", which require individuals' and human crowds' locations and behavior. In this paper, we present our project that realizes a human tracking and sensing platform called Hitonavi for enabling location sharing and trajectory identification of people. The core technology is LIDAR-based highly-accurate tracking of people as well as human crowd detection, and smartphone-assisted trajectory identification for enabling "pinpoint" indoor location services in retail shops, exhibition halls, office buildings, commercial complex, train stations and so on. Leveraging these functions, we may build a variety of smart city applications on top of the Hitonavi platform, which would bring new values for smart communities, smart buildings and many other smart city applications. We introduce the concept and key technologies of the Hitonavi platform and discuss potential applications.

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cover image ACM Other conferences
Workshops ICDCN '18: Proceedings of the Workshop Program of the 19th International Conference on Distributed Computing and Networking
January 2018
151 pages
ISBN:9781450363976
DOI:10.1145/3170521
  • Conference Chair:
  • Doina Bein
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 January 2018

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Author Tags

  1. human tracking
  2. sensing
  3. smart city

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Cited By

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  • (2024)Analysis of human mobility behavior in Smart Cities and Smart Environments: A systematic literature review and taxonomyJournal of Smart Cities and Society10.3233/SCS-2400063:3(127-162)Online publication date: 20-Sep-2024
  • (2023)BLECE: BLE-Based Crowdedness Estimation Method for Restaurants and Public Facilities2023 Fourteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU58504.2023.10412158(1-6)Online publication date: 29-Nov-2023
  • (2023)Laser Range Scanners for Enabling Zero-overhead WiFi-based Indoor Localization SystemACM Transactions on Spatial Algorithms and Systems10.1145/35396599:1(1-25)Online publication date: 12-Jan-2023
  • (2023)Unleashing the digital building bricksElectronic Markets10.1007/s12525-023-00666-z33:1Online publication date: 3-Oct-2023
  • (2022)Object Recognition from 3D Point Cloud on Resource-Constrained Edge Device2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMob55322.2022.9941552(369-374)Online publication date: 10-Oct-2022
  • (2022)An Overview of Methods for Control and Estimation of Capacity in COVID-19 Pandemic from Point Cloud and Imagery DataSmart and Sustainable Technology for Resilient Cities and Communities10.1007/978-981-16-9101-0_7(91-105)Online publication date: 25-Feb-2022
  • (2021)Noise Generation GAN Based Identity Privacy Protection for Smart City2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI)10.1109/SWC50871.2021.00053(338-347)Online publication date: Oct-2021
  • (2020)Gain Without PainProceedings of the 28th International Conference on Advances in Geographic Information Systems10.1145/3397536.3422207(550-559)Online publication date: 3-Nov-2020
  • (2020)Robust Detection of Presence of Individuals in an Indoor Environment using IR-UWB RadarIEEE Access10.1109/ACCESS.2020.3000796(1-1)Online publication date: 2020
  • (2019)Modeling BLE Propagation Above the Ceiling for Smart HVAC Systems2019 15th International Conference on Intelligent Environments (IE)10.1109/IE.2019.00012(68-71)Online publication date: Jun-2019

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