Validation of On Street Parking

Part of the Research Data collection

Descriptions

Abstract: In 2016, tests were carried out in Guildford to identify car parking spaces using a mobile sonar sensor mounted on the nearside of a test vehicle which collects data as it moves around the location. The data collected is sent over a cellular link to a web based database which includes maps with known parking areas. The spaces are identified and can be made available to road users via an App. The vehicle location was determined from a GPS receiver combined with map matching. To determine the accuracy, ground truth is provided by a camera mounted on the test vehicle.
Other: All the resources consisting of raw data from the drive tests and map representations are included in the zip file. The video ground truth information can be made available if required.

Subjects

Intelligent Transport Systems, On-street parking, Parking sensors, Sonar/ultrasonic sensors, Supervised learning, Map matching,

This dataset is currently embargoed


Digital Object Identifier (DOI)

10.24384/dkha-9n48

Resource description

Dataset / Mobile sonar sensor data

Publication year

2019

Other dates

Created 2016

Creators

Cristian Roman (Oxford Brookes University) - ORCID: 0000-0002-9164-8659
Ruizhi Liao (The Chinese University of Hong Kong) - ORCID: 0000-0002-3214-3255
Peter Ball (Oxford Brookes University)
Shumao Ou (Oxford Brookes University)
Martin de Heaver (GEOmii Technologies Ltd.) - ORCID: 0000-0002-0399-1810

Contributors

Oxford Brookes University (Rights Holder)
GEOmii (Rights Holder)

Funding

Validation of On Street Parking(A-15717) from Ethos Valuable Outcomes Ltd.

Geolocation

Guildford, United Kingdom

Related resources

This data is cited by: 10.1109/TITS.2018.2804169 (DOI)


© Oxford Brookes University and GEOmii.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

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