Reliability of Conventional Infrastructure in Context of Automated Driving illustrated by the SLAM Problem

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Reliability of Conventional Infrastructure in Context of Automated Driving illustrated by the SLAM Problem

Vosshans, Marcel / Tsai, Cheng-Ting / Mursinsky, Nils / Mao, Yichen / Jäggle, Alexander / Heisig, Tobias / Dang, Thao / Wörner, Ralf

Abstract

With the appearance of the autonomy levels (according to SAE J3016), the responsibility of the driving ability is iteratively transferred to machine systems. An edge case is countered by a human driver with improvisation, while machines try to use known situations or given conditions to induce a human equivalent behavior. Such a system is based on landmarks like traffic signs, markings or structural conditions – the conventional road infrastructure. If there are not enough features to assign a situation, the system must fail. This infrastructural dependency, which future vehicles with increasing levels of autonomy must be able to cope with, was examined using the SLAM (Simultaneous Localization and Mapping) problem as an example. Two problems exist here: the landmark association and the diverging sensory inaccuracy. This contribution solves the association by proposing machine-readable traffic signs. The change of the conventional infrastructure allows the introduction of a conceptual fallback matrix, which in this context may lead to a decoupling of infrastructural dependency. This leads to the thesis that the vehicle of the future will no longer be defined by its engine power, but rather by its sensor technology and computing power to provide its autonomy.

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Dokumentinformationen

Titel :

Reliability of Conventional Infrastructure in Context of Automated Driving illustrated by the SLAM Problem

Weitere Titelangaben:

Proceedings

Beteiligte:

Bargende, Michael (Herausgeber:in) / Reuss, Hans-Christian (Herausgeber:in) / Wagner, Andreas (Herausgeber:in) / Vosshans, Marcel (Autor:in) / Tsai, Cheng-Ting (Autor:in) / Mursinsky, Nils (Autor:in) / Mao, Yichen (Autor:in) / Jäggle, Alexander (Autor:in) / Heisig, Tobias (Autor:in) / Dang, Thao (Autor:in)

Erschienen in:

21. Internationales Stuttgarter Symposium ; Kapitel : 16 ; 228-243

Proceedings

Erscheinungsdatum :

2021-05-14

Format / Umfang :

16 pages

ISBN :

978-3-658-33466-6 , 978-3-658-33465-9

ISSN :

2198-7440 , 2198-7432

DOI :