Car parking assistance based on time-or-flight camera

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dc.contributor.authorPelaez, Luis Paarup
dc.contributor.authorRecalde, Myriam E.Vaca
dc.contributor.authorMunoz, Enrique D.Marti
dc.contributor.authorLarrauri, Jesus Murgoitio
dc.contributor.authorRastelli, Joshue M.Perez
dc.contributor.authorDruml, Norbert
dc.contributor.authorHillbrand, Bernhard
dc.contributor.institutionTecnalia Research & Innovation
dc.contributor.institutionCCAM
dc.date.accessioned2024-07-24T11:57:11Z
dc.date.available2024-07-24T11:57:11Z
dc.date.issued2019-06
dc.descriptionPublisher Copyright: © 2019 IEEE.
dc.description.abstractExternal sensing for automative applications are key tools for the development of Advanced Driver Assistance Systems (ADAS), since they can sense and analyse the environment around the vehicle by providing pictures of the scene behind the vehicle. Parking assistance systems are already available in the market. However, most of these applications are based on ultrasonic sensors, wide-angle image cameras, RADAR, etc, which present some drawbacks such as dependency to light conditions or high maintenance cost, among others. This paper proposes an approach for assisting drivers to park through the processing of data derived by a 3D Time-of-Flight (ToF) camera and the reconstruction of the objects identified around the vehicle. The proposed technique is focused on fusion of two parallel processing technologies, a visual one through the intensity image and a spatial one through the point cloud. Both of them are centered on the detection of the vehicle's plate to estimate its position and determine free spots in the parking. This novel methodology improves the detection of surrounding elements, since it helps to solve two main problems with this kind of devices: 1) the degraded performance under bright ambient light problem (occurring mainly in outdoor parkings), that causes shadows and brightness in the images, hindering its process to detect objects; and 2) the limited detection of low reflection objects such as dark cars. Moreover, this fusion allows to link each pixel of the image with a 3D position, and vice versa, giving the point cloud a visual reference. The system is evaluated through a Renault Twizy platform in real conditions.en
dc.description.sponsorshipAuthors wants to thank to the H2020 IoSense Project (with grant number 692480) for their support in the development of this work
dc.description.statusPeer reviewed
dc.format.extent7
dc.identifier.citationPelaez , L P , Recalde , M E V , Munoz , E D M , Larrauri , J M , Rastelli , J M P , Druml , N & Hillbrand , B 2019 , Car parking assistance based on time-or-flight camera . in 2019 IEEE Intelligent Vehicles Symposium, IV 2019 . , 8813820 , IEEE Intelligent Vehicles Symposium, Proceedings , vol. 2019-June , Institute of Electrical and Electronics Engineers Inc. , pp. 1753-1759 , 30th IEEE Intelligent Vehicles Symposium, IV 2019 , Paris , France , 9/06/19 . https://doi.org/10.1109/IVS.2019.8813820
dc.identifier.citationconference
dc.identifier.doi10.1109/IVS.2019.8813820
dc.identifier.isbn9781728105604
dc.identifier.urihttps://hdl.handle.net/11556/2705
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85072286129&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2019 IEEE Intelligent Vehicles Symposium, IV 2019
dc.relation.ispartofseriesIEEE Intelligent Vehicles Symposium, Proceedings
dc.relation.projectIDH2020 IoSense, 692480
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsAutomotive Engineering
dc.subject.keywordsModeling and Simulation
dc.titleCar parking assistance based on time-or-flight cameraen
dc.typeconference output
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