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Article overview
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Searching for Parking Spaces via Range-based Sensors | Qi Luo
; Romesh Saigal
; Robert Hampshire
; | Date: |
22 Jul 2016 | Abstract: | Real-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 | Services: | Forum | Review | PDF | Favorites |
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