@inproceedings{9ce48c24969748c084fb8842d4e48e61,
title = "Accuracy Requirements For Cooperative Radar With Sensor Fusion",
abstract = "Reliability and robustness are the essential requirements for automotive radar systems. However an automotive radar system suffers from environmental conditions and interference. Applying a proper radar data fusion algorithm can significantly increase the estimation quality and robustness. This article investigates the accuracy requirements based on the geometric parameters for cooperative radar sensors with central sensor fusion. The results show that a radar sensor fusion for cooperative radar can increase the estimation quality and therefore the system robustness by using at least two radar sensors. Furthermore, results show that three to four sensors at a minimum distance of two to four meters are sufficient for high quality estimation. At the same time the system requirements regarding the accuracy for every single radar sensor can be relaxed to a range accuracy as low as one meter standard deviation.",
keywords = "Automotive radar, Cooperative radar, Particle filter, Sensor fusion",
author = "Mehdi Ashury and Christian Eliasch and Thomas Blazek and Mecklenbr{\"a}uker, {Christoph F.}",
year = "2020",
month = mar,
day = "20",
doi = "10.23919/EuCAP48036.2020.9135378",
language = "English",
isbn = "978-1-7281-3712-4",
series = "14th European Conference on Antennas and Propagation, EuCAP 2020",
publisher = "IEEE Computer Society",
pages = "1--5",
booktitle = "14th European Conference on Antennas and Propagation, EuCAP 2020",
address = "United States",
note = "2020 14th European Conference on Antennas and Propagation (EuCAP) ; Conference date: 15-03-2020 Through 20-03-2020",
}