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AuthorHügler, Philippdc.contributor.author
AuthorRoos, Fabiandc.contributor.author
AuthorSchartel, Markusdc.contributor.author
AuthorGeiger, Martindc.contributor.author
AuthorWaldschmidt, Christiandc.contributor.author
Date of accession2018-12-04T11:04:03Zdc.date.accessioned
Available in OPARU since2018-12-04T11:04:03Zdc.date.available
Date of first publication2018-10-12dc.date.issued
AbstractModern consumer and industrial unmanned aerial vehicles (UAVs) are easy-to-use flying sensor platforms. They offer stable flight, good maneuverability, hovering, and even waypoint flights in autopilot mode. For stabilization and localization, sensors such as inertial measurement units (IMUs)-including gyroscopes and accelerometers-barometric sensors, and the Global Navigation Satellite System (GNSS) are used. To sense the UAV's direct environment, e.g., for collision avoidance or fully automated flight, additional sensors are needed. State-of-the-art combinations of infrared, ultrasonic, and vision-based sensors (monocular and/or stereo vision) capture the close vicinity. Using radar sensors is advantageous, as they are able to directly sense range and velocity and are not affected by lighting conditions and contrast. With the help of a multichannel radar, the angular information may also be extracted.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
KeywordRadar imagingdc.subject
KeywordRadar measurementsdc.subject
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
LCSHRadar in aeronauticsdc.subject.lcsh
LCSHRadar; Antennasdc.subject.lcsh
LCSHAirplanes; Collision avoidancedc.subject.lcsh
LCSHRadar; Automatic detectiondc.subject.lcsh
TitleRadar taking off: New capabilities for UAVsdc.title
Resource typeWissenschaftlicher Artikeldc.type
VersionacceptedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-10433dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-10490-0dc.identifier.urn
GNDRadardc.subject.gnd
GNDRadarantennedc.subject.gnd
GNDKollisionsschutzdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Mikrowellentechnikuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
DOI of original publication10.1109/MMM.2018.2862558dc.relation1.doi
Source - Title of sourceIEEE Microwave Magazinesource.title
Source - Place of publicationInstitute of Electrical and Electronics Engineerssource.publisher
Source - Volume19source.volume
Source - Issue7source.issue
Source - Year2018source.year
Source - From page43source.fromPage
Source - To page53source.toPage
Source - ISSN1527-3342source.identifier.issn
Source - eISSN1557-9581source.identifier.eissn
FundingZAFH Mikrosens / MWK BWuulm.funding
University Bibliographyjauulm.unibibliographie


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