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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Dominik Notz, Martin Sigl, Thomas Kühbeck, Sebastian Wagner, Korbinian Groh, Christoph Schütz, Daniel Watzenig 
Title:
Methods for Improving the Accuracy of the Virtual Assessment of Autonomous Driving 
Abstract:
Assessing the safety of an autonomous vehicle is an open problem within the research domain for autonomous vehicles. Next to real-world driving tests, simulation and re-processing of recordings play a crucial role in validating the correct and safe behavior. Current state-of-the-art methods for function reprocessing suffer from several sources of error and hence, might lead to incorrect results. In this work, an overview of the most recent reprocessing methods is given and their shortcomings are...    »
 
Dewey Decimal Classification:
000 Informatik, Wissen, Systeme 
Editor:
IEEE 
Book / Congress title:
Proceedings of the 8th International Conference on Connected Vehicles and Expo 2019 
Year:
2019 
Quarter:
4. Quartal 
Year / month:
2019-11 
Month:
Nov 
Reviewed:
ja