Integrity Monitoring of Multimodal Perception System for Vehicle Localization

Autonomous driving systems tightly rely on the quality of the data from sensors for tasks such as localization and navigation. In this work, we present an integrity monitoring framework that can assess the quality of multimodal data from exteroceptive sensors. The proposed multisource coherence-base...

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Autors principals:	Arjun Balakrishnan, Sergio Rodriguez Florez, Roger Reynaud
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-08-01
Col·lecció:	Sensors
Matèries:	multimodal data source integrity assessment intelligent vehicles localization Protection Level markers
Accés en línia:	https://www.mdpi.com/1424-8220/20/16/4654
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