Show simple item record

AuthorSchlichenmaier, Johannesdc.contributor.author
AuthorRoos, Fabiandc.contributor.author
AuthorKunert, Martindc.contributor.author
AuthorWaldschmidt, Christiandc.contributor.author
Date of accession2018-05-16T13:51:11Zdc.date.accessioned
Available in OPARU since2018-05-16T13:51:11Zdc.date.available
Date of first publication2016-08-08dc.date.issued
AbstractFuture automotive radars will be able to achieve much higher range and angular resolution compared to currently used radar sensors. This enables functionalities like vehicle contour estimation to be used in advanced driver assistance systems, thus heavily increasing their performance. In this paper, the application of an adaptive algorithm on basis of k-nearest-neighbours examination for clustering radar data as precursor to estimation of width, length, and position of vehicles is presented and compared to a more basic algorithm. The influence of the parameters of this KNN-DBSCAN algorithm and its performance dependency on the used MIMO radar system is discussed.dc.description.abstract
Languageen_USdc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandarddc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v3dc.rights.uri
KeywordLaser radardc.subject
KeywordClustering algorithmsdc.subject
KeywordEstimationdc.subject
KeywordKerneldc.subject
KeywordRadar imagingdc.subject
KeywordSmoothing methodsdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
LCSHCluster analysisdc.subject.lcsh
LCSHKernel functionsdc.subject.lcsh
LCSHOptical radardc.subject.lcsh
TitleAdaptive clustering for contour estimation of vehicles for high-resolution radardc.title
Resource typeBeitrag zu einer Konferenzdc.type
VersionacceptedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-6591dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-6648-5dc.identifier.urn
GNDCluster-Analysedc.subject.gnd
GNDKernel <Informatik>dc.subject.gnd
GNDGlättung <Oberflächenbehandlung>dc.subject.gnd
GNDOptischer Sensordc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mikrowellentechnikuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
In cooperation withRobert Bosch GmbHuulm.cooperation
DOI of original publication10.1109/ICMIM.2016.7533930dc.relation1.doi
Source - Title of source2016 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)source.title
Quellenangabe - HerausgeberInstitute of Electrical and Electronics Engineerssource.contributor.editor1
Source - Place of publicationIEEEsource.publisher
Source - Year2016source.year
Source - From page1source.fromPage
Source - To page4source.toPage
Source - ISBN978-1-5090-2367-7source.identifier.isbn
Source - ISBN978-1-5090-2368-4source.identifier.isbn
Conference nameIEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM)uulm.conferenceName
Conference placeSan Diego, CAuulm.conferencePlace
Conference start date2016-05-19uulm.conferenceStartDate
Conference end date2016-05-20uulm.conferenceEndDate
Bibliographyuulmuulm.bibliographie


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record