Automatische Erzeugung langzeitverfügbarer Punktmerkmalskarten zur robusten Lokalisierung mit Multi-Kamera-Systemen für automatisierte Fahrzeuge
| dc.contributor.author | Sons, Marc | |
| dc.date.accessioned | 2021-05-28T02:00:55Z | |
| dc.date.available | 2021-05-28T02:00:55Z | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-05-27T09:28:21Z | |
| dc.identifier | ONIX_20210527_9783731510291_25 | |
| dc.identifier | 1613-4214 | |
| dc.identifier | https://library.oapen.org/handle/20.500.12657/48828 | |
| dc.identifier.uri | https://directory.doabooks.org/handle/20.500.12854/70075 | |
| dc.description.abstract | Automated vehicles heavily rely on accurate self-localization to operate safely and efficiently in dynamic road traffic scenarios. In this work, an iterative and robust approach to create highly accurate maps comprising any number of drives of arbitrary length with constant computation complexity is proposed. Furthermore, a high-precision self-localization method using multiple cameras covering the surrounding environment is presented. | |
| dc.language | German | |
| dc.relation.ispartofseries | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie | |
| dc.rights | open access | |
| dc.subject.classification | bic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials | |
| dc.subject.other | SLAM | |
| dc.subject.other | Automatisiertes Fahren | |
| dc.subject.other | Fahrzeugsehen | |
| dc.subject.other | Umweltwahrnehmung | |
| dc.subject.other | Lokalisierung | |
| dc.subject.other | Automated Driving | |
| dc.subject.other | Machine Vision | |
| dc.subject.other | Environment Perception | |
| dc.subject.other | Mapping and Localization | |
| dc.subject.other | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials | |
| dc.title | Automatische Erzeugung langzeitverfügbarer Punktmerkmalskarten zur robusten Lokalisierung mit Multi-Kamera-Systemen für automatisierte Fahrzeuge | |
| dc.type | book | |
| oapen.identifier.doi | 10.5445/KSP/1000118525 | |
| oapen.relation.isPublishedBy | 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 | |
| oapen.relation.isbn | 9783731510291 | |
| oapen.pages | 182 | |
| oapen.place.publication | Karlsruhe | |
| dc.seriesnumber | 45 | |
| dc.abstractotherlanguage | Automated vehicles heavily rely on accurate self-localization to operate safely and efficiently in dynamic road traffic scenarios. In this work, an iterative and robust approach to create highly accurate maps comprising any number of drives of arbitrary length with constant computation complexity is proposed. Furthermore, a high-precision self-localization method using multiple cameras covering the surrounding environment is presented. |
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