Towards a distributed real-time hybrid simulator for autonomous vehicles

To thoroughly test and validate algorithms and systems of autonomous vehicles, a large number of vehicles, many tests and a multitude of datasets are needed. This way of developing and testing is difficult, expensive and sometimes even dangerous. To combine the benefits of real world testing with th...

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Bibliographic Details
Published inComputing Vol. 101; no. 7; pp. 873 - 891
Main Authors de Hoog, Jens, Janssens, Arthur, Mercelis, Siegfried, Hellinckx, Peter
Format Journal Article
LanguageEnglish
Published Vienna Springer Vienna 01.07.2019
Springer Nature B.V
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Summary:To thoroughly test and validate algorithms and systems of autonomous vehicles, a large number of vehicles, many tests and a multitude of datasets are needed. This way of developing and testing is difficult, expensive and sometimes even dangerous. To combine the benefits of real world testing with the scalability and lower cost of simulation based testing, we present a novel methodology for a real-time hybrid simulator that is capable of handling real and simulated vehicles simultaneously with full interaction, in real time. We validated our methodology by assessing its overall performance and real-time capabilities using an F1/10 scale vehicle. The results effectively show the viability of this approach for validation of autonomous vehicles in a cost-efficient and safe manner.
ISSN:0010-485X
1436-5057
DOI:10.1007/s00607-018-0649-y