Map Attribute Validation using Historic Floating Car Data and Anomaly Detection Techniques

Carl Esselborn, Leo Misera, Michael Eckert, Marc Holzäpfel, Eric Sax

Abstract

Map data is commonly used as input for Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) functions. While most hardware and software components are not changed after releasing the system to the customer, map data are often updated on a regular basis. Since the map information can have a significant influence on the function’s behavior, we identified the need to be able to evaluate the function’s performance with updated map data. In this work, we propose a novel approach for map data regression tests in order to evaluate specific map features using a database of historic floating car data (FCD) as a reference. We use anomaly detection methods to identify situations in which floating car data and map data do not fit together. As proof of concept, we applied this approach to a specific use case finding yield signs in the map, which are currently not present in the real world. For this anomaly detection task, the autoencoder shows a high precision of 90% while maintaining an estimated recall of 45%.

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Paper Citation


in Harvard Style

Esselborn C., Misera L., Eckert M., Holzäpfel M. and Sax E. (2020). Map Attribute Validation using Historic Floating Car Data and Anomaly Detection Techniques.In Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-419-0, pages 504-514. DOI: 10.5220/0009425905040514


in Bibtex Style

@conference{vehits20,
author={Carl Esselborn and Leo Misera and Michael Eckert and Marc Holzäpfel and Eric Sax},
title={Map Attribute Validation using Historic Floating Car Data and Anomaly Detection Techniques},
booktitle={Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2020},
pages={504-514},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009425905040514},
isbn={978-989-758-419-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Map Attribute Validation using Historic Floating Car Data and Anomaly Detection Techniques
SN - 978-989-758-419-0
AU - Esselborn C.
AU - Misera L.
AU - Eckert M.
AU - Holzäpfel M.
AU - Sax E.
PY - 2020
SP - 504
EP - 514
DO - 10.5220/0009425905040514