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Learning Reliability

  • Tuan Tran NguyenEmail author
Chapter
Part of the AutoUni – Schriftenreihe book series (AUS, volume 140)

Abstract

In this chapter, we propose a novel reliability estimation concept for ego-lane detection. By that, the reliabilities of the participating sensors are learned and estimated using multiple classification approaches, whose input data consists of different types of information, such as contextual data, sensor measurements. Afterward, we demonstrate the feasibility of our introduced concept by applying it to real data.

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Copyright information

© Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020

Authors and Affiliations

  1. 1.AutoUniWolfsburgGermany

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