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2019 | OriginalPaper | Buchkapitel

Towards Collaborative Perception for Automated Vehicles in Heterogeneous Traffic

verfasst von : Saifullah Khan, Franz Andert, Nicolai Wojke, Julian Schindler, Alejandro Correa, Anton Wijbenga

Erschienen in: Advanced Microsystems for Automotive Applications 2018

Verlag: Springer International Publishing

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Abstract

In the near future Automated Vehicles (AVs) will be part of the vehicular traffic on the roads. Normally, all automation levels will be granted on the road based on the different road situations, but challenging situations will still exist that AVs will not be able to handle safely and efficiently. AVs driving at a high automation level may step down to the lower automation level and handover the partial/full control to the driver when the automation system reaches its functional system limits or encounters unexpected situations. This paper briefly explains the H2020 TransAID project covering the transition phases between different levels of automation. It will review related work and introduce the concept to investigate automation level changes. Furthermore, the collective sensor data processing architecture using for demonstrators and the selected use cases are presented.

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Metadaten
Titel
Towards Collaborative Perception for Automated Vehicles in Heterogeneous Traffic
verfasst von
Saifullah Khan
Franz Andert
Nicolai Wojke
Julian Schindler
Alejandro Correa
Anton Wijbenga
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-99762-9_3

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