An intelligent vehicle-tracking system solution for indoor parking
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ORIGINAL PAPER
An intelligent vehicle-tracking system solution for indoor parking Huarong Li 1 & Tao Chen 1 & Yingxue Peng 1 & Haiming Li 1 Received: 28 August 2019 / Accepted: 10 May 2020 # Società Italiana di Fotogrammetria e Topografia (SIFET) 2020
Abstract In addressing the challenge of drivers who are unable to locate their own vehicles in large indoor parking garages, an intelligent vehicle-tracking system is proposed in this paper. Through the use of QR (quick response) codes, map service, and local tile map package technologies, accurate vehicle location, tracking, and navigation functions are achieved. The software application on mobile phone with the Android operating system was implemented and tested in two indoor parking garages. The experimental results showed that the technical solution is available and practicable, and the results are of guiding significance to the extensive application of indoor vehicle tracking. Keywords Indoor vehicle tracking . QR code location . Android platform
Introduction With economic development and technological progress, an increasing number of large indoor parking garages with multistorey, multi-function, and intelligent management is being built (Chen et al. 2017). In large and multi-storey indoor parking garages, faced with very similar environments, a driver usually cannot remember where his/her car is parked and ends up circling back and forth searching for the vehicle, which results in wasted time and potential dangers from traffic (Cao and Menendez 2017; Gao et al. 2017; Liao et al. 2018). In this paper, we propose an intelligent vehicle-tracking system that records accurate position information for cars into drivers’ mobile phones by scanning quick response (QR) codes attached on pillars, walls, or the ground in garages, and can provide route navigation from the driver’s current * Huarong Li [email protected] Tao Chen [email protected] Yingxue Peng [email protected] Haiming Li [email protected] 1
National and Local Joint Engineering Laboratory of Traffic Civil Engineering Materials, Chongqing Jiaotong University, Chongqing 400074, China
position to the position of his/her car. This intelligent vehicle-tracking system will not only help drivers to efficiently find their cars but also improve the utilization of parking spaces.
Related works The challenge of tracking vehicles in indoor garages is obtaining the position of the vehicle. Many systems have tried to provide solutions to this challenge. We classified these systems into two categories according to position information. The first category is obtaining the real-time position of a smartphone in a car through Wi-Fi, IBeacon, ZigBee, ultrawideband (UWB), or simultaneous localization and mapping (SLAM). Researchers have studied many methods, including wireless fingerprinting approaches (Yang et al. 2017), geomagnetic fingerprinting, and inertial dead-reckoning. However, these approaches are heavily restricted in indoor garage environments and cannot be applied on a large s
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