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AuthorKämpchen, Nicodc.contributor.author
Date of accession2016-03-14T13:38:50Zdc.date.accessioned
Available in OPARU since2016-03-14T13:38:50Zdc.date.available
Year of creation2007dc.date.created
AbstractAdvanced driver assistance systems aim at an improved traffic safety, enhanced comfort and driving pleasure. Sensors perceive the objects surrounding the vehicle and produce an environment description. The assistance systems support the driver by assessing the situation recognized by this vehicle environment description. Current research in the area of advanced driver assistance systems aims at increased functionality. Comfort systems, such as the ACC, are expected to support the driver not only in normal driving phases, but also in more complex situations such as traffic jams. Safety systems will trigger collision avoidance or mitigation measures in a number of potential crash configurations and not only in well defined rear end collision situations. These future advanced applications impose strong requirements on the sensors and demand novel and complex signal processing algorithms for vehicle detection, tracking and situation assessment. The present work addresses challenging traffic scenarios. Novel sensor signal processing, sensor data fusion and tracking algorithms were developed which provide precise and consistent motion estimates for complex intersection scenarios, lane change maneuvers of vehicles, trucks on neighbouring lanes and highly dynamic situations. A novel emergency brake application offers a general solution to the situation assessment and aims in particular at so far unresolved intersection scenarios.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandard (Fassung vom 03.05.2003)dc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v1dc.rights.uri
KeywordAutomatische Notbremsedc.subject
KeywordCollision mitigationdc.subject
KeywordEmergency brakedc.subject
KeywordFahrerassistenzdc.subject
KeywordFahrumfelderkennungdc.subject
KeywordLaser scannerdc.subject
KeywordVehicle environment perceptiondc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
LCSHDriver assistance systemsdc.subject.lcsh
LCSHMultisensor data fusiondc.subject.lcsh
TitleFeature-level fusion of laser scanner and video data for advanced driver assistance systemsdc.title
Resource typeDissertationdc.type
DOIhttp://dx.doi.org/10.18725/OPARU-382dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-vts-59588dc.identifier.urn
GNDDatenfusiondc.subject.gnd
GNDLaserscannerdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften und Informatikuulm.affiliationGeneral
Date of activation2007-07-10T11:57:55Zuulm.freischaltungVTS
Peer reviewneinuulm.peerReview
Shelfmark print versionZ: J-H 11.553 ; Z: J-H 14.513; W: W-H 9.760uulm.shelfmark
DCMI TypeTextuulm.typeDCMI
VTS-ID5958uulm.vtsID
CategoryPublikationenuulm.category
Ulm seriesSchriftenreihe des Instituts für Mess-, Regel- und Mikrotechnikuulm.dissSeriesUlmName
University Bibliographyjauulm.unibibliographie


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