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29 March 2024
 
  » arxiv » 1607.6708

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Searching for Parking Spaces via Range-based Sensors
Qi Luo ; Romesh Saigal ; Robert Hampshire ;
Date 22 Jul 2016
AbstractReal-time parking occupancy information is valuable for guiding drivers’ searching for parking spaces. However, in previous practice, data acquisition requires costly infrastructure upgrades especially including installing cameras or sensors on site. In this paper, we proposed a Sensor-based Intelligent Parking System (SIPS) which is able to detect free parking spaces using range-based sensors embedded in vehicles, and share information through a connected vehicle network. A probe vehicle equipped with six Short-Range Radars (SRR) and GPS is used to collected data from field tests with known test environment configuration. Based on different scenarios of data processing, two probabilistic detection algorithms are proposed and evaluated. In the case of handling static data, a two-step clustering method reduced Type I and Type II errors to less than 15 \%. For dynamic data, a modified Simultaneous Localization and Mapping (SLAM) algorithm was applied to estimate the status of parking occupancy by using Bayesian inference and geometric approximations.
Source arXiv, 1607.6708
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