automatische-erzeugung-langzeitverfugbarer-punktmerkmalskarten-zur-robusten-lokalisierung-mit-multi-kamera-systemen-fur-automatisierte-fahrzeuge.pdf

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...

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Έκδοση: KIT Scientific Publishing 2021
id oapen-20.500.12657-48828
record_format dspace
spelling oapen-20.500.12657-488282021-05-28T00:57:20Z Automatische Erzeugung langzeitverfügbarer Punktmerkmalskarten zur robusten Lokalisierung mit Multi-Kamera-Systemen für automatisierte Fahrzeuge Sons, Marc SLAM Automatisiertes Fahren Fahrzeugsehen Umweltwahrnehmung Lokalisierung Automated Driving Machine Vision Environment Perception Mapping and Localization bic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials 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. 2021-05-27T09:28:21Z 2021-05-27T09:28:21Z 2021 book ONIX_20210527_9783731510291_25 1613-4214 9783731510291 https://library.oapen.org/handle/20.500.12657/48828 ger Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie application/pdf n/a automatische-erzeugung-langzeitverfugbarer-punktmerkmalskarten-zur-robusten-lokalisierung-mit-multi-kamera-systemen-fur-automatisierte-fahrzeuge.pdf KIT Scientific Publishing 10.5445/KSP/1000118525 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. 10.5445/KSP/1000118525 44e29711-8d53-496b-85cc-3d10c9469be9 9783731510291 45 182 Karlsruhe open access
institution OAPEN
collection DSpace
language ger
description 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.
title automatische-erzeugung-langzeitverfugbarer-punktmerkmalskarten-zur-robusten-lokalisierung-mit-multi-kamera-systemen-fur-automatisierte-fahrzeuge.pdf
spellingShingle automatische-erzeugung-langzeitverfugbarer-punktmerkmalskarten-zur-robusten-lokalisierung-mit-multi-kamera-systemen-fur-automatisierte-fahrzeuge.pdf
title_short automatische-erzeugung-langzeitverfugbarer-punktmerkmalskarten-zur-robusten-lokalisierung-mit-multi-kamera-systemen-fur-automatisierte-fahrzeuge.pdf
title_full automatische-erzeugung-langzeitverfugbarer-punktmerkmalskarten-zur-robusten-lokalisierung-mit-multi-kamera-systemen-fur-automatisierte-fahrzeuge.pdf
title_fullStr automatische-erzeugung-langzeitverfugbarer-punktmerkmalskarten-zur-robusten-lokalisierung-mit-multi-kamera-systemen-fur-automatisierte-fahrzeuge.pdf
title_full_unstemmed automatische-erzeugung-langzeitverfugbarer-punktmerkmalskarten-zur-robusten-lokalisierung-mit-multi-kamera-systemen-fur-automatisierte-fahrzeuge.pdf
title_sort automatische-erzeugung-langzeitverfugbarer-punktmerkmalskarten-zur-robusten-lokalisierung-mit-multi-kamera-systemen-fur-automatisierte-fahrzeuge.pdf
publisher KIT Scientific Publishing
publishDate 2021
_version_ 1771297406676107264