Informationsfusion für die kooperative Umfeldwahrnehmung vernetzter Fahrzeuge

Cooperative decisions of multiple vehicles need a collaborative perception. Therefore, fusion methods for ego and environmental information are developed and evaluated. Precondition for the registration of data in a common coordinates is the accurate localization. This is realized by a fusion approa...

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Главный автор: Tischler, Karin
Формат: Online
Язык:немецкий
Опубликовано: KIT Scientific Publishing 2021
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Online-ссылка:35029
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author Tischler, Karin
author_browse Tischler, Karin
author_facet Tischler, Karin
author_sort Tischler, Karin
collection Directory of Open Access Books
description Cooperative decisions of multiple vehicles need a collaborative perception. Therefore, fusion methods for ego and environmental information are developed and evaluated. Precondition for the registration of data in a common coordinates is the accurate localization. This is realized by a fusion approach with absolute data of GPS and relative data of a dead reckoning system. A decentral fusion procedure combines a recursive multi-target tracking of detections with a grid-based mapping. Thus, negative sensor evidences can be formulated and missing detections are recognized.
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spelling doab-20.500.12854ir-502342024-04-09T23:16:28Z Informationsfusion für die kooperative Umfeldwahrnehmung vernetzter Fahrzeuge Tischler, Karin T1-995 Informationsfusioncooperative vehicles data fusion negative sensor evidence Kooperative Fahrzeuge Negative Sensorevidenz thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Cooperative decisions of multiple vehicles need a collaborative perception. Therefore, fusion methods for ego and environmental information are developed and evaluated. Precondition for the registration of data in a common coordinates is the accurate localization. This is realized by a fusion approach with absolute data of GPS and relative data of a dead reckoning system. A decentral fusion procedure combines a recursive multi-target tracking of detections with a grid-based mapping. Thus, negative sensor evidences can be formulated and missing detections are recognized. 2021-02-11T16:14:16Z 2021-02-11T16:14:16Z 2019-07-30 20:02:00 2013 book 35029 16134214 9783731501664 https://directory.doabooks.org/handle/20.500.12854/50234 ger Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731501664 KIT Scientific Publishing 10.5445/KSP/1000038048 10.5445/KSP/1000038048 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731501664 VIII, 115 p. open access
spellingShingle T1-995
Informationsfusioncooperative vehicles
data fusion
negative sensor evidence
Kooperative Fahrzeuge
Negative Sensorevidenz
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Tischler, Karin
Informationsfusion für die kooperative Umfeldwahrnehmung vernetzter Fahrzeuge
title Informationsfusion für die kooperative Umfeldwahrnehmung vernetzter Fahrzeuge
title_full Informationsfusion für die kooperative Umfeldwahrnehmung vernetzter Fahrzeuge
title_fullStr Informationsfusion für die kooperative Umfeldwahrnehmung vernetzter Fahrzeuge
title_full_unstemmed Informationsfusion für die kooperative Umfeldwahrnehmung vernetzter Fahrzeuge
title_short Informationsfusion für die kooperative Umfeldwahrnehmung vernetzter Fahrzeuge
title_sort informationsfusion fur die kooperative umfeldwahrnehmung vernetzter fahrzeuge
topic T1-995
Informationsfusioncooperative vehicles
data fusion
negative sensor evidence
Kooperative Fahrzeuge
Negative Sensorevidenz
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
topic_facet T1-995
Informationsfusioncooperative vehicles
data fusion
negative sensor evidence
Kooperative Fahrzeuge
Negative Sensorevidenz
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
url 35029
work_keys_str_mv AT tischlerkarin informationsfusionfurdiekooperativeumfeldwahrnehmungvernetzterfahrzeuge