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Automatische Erzeugung langzeitverfügbarer Punktmerkmalskarten zur robusten Lokalisierung mit Multi-Kamera-Systemen für automatisierte Fahrzeuge

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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Enregistré dans:
Auteur principal: Sons, Marc
Format: Online
Langue:allemand
Publié: KIT Scientific Publishing 2021
Sujets:
SLAM
Automatisiertes Fahren
Fahrzeugsehen
Umweltwahrnehmung
Lokalisierung
Automated Driving
Machine Vision
Environment Perception
Mapping and Localization
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
bic Book Industry Communication::T Technology, engineering, agriculture::TG Mechanical engineering & materials
Accès en ligne:ONIX_20210527_9783731510291_25
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Résumé: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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