Autor: |
Aydogdu, Canan, Carvajal, Gisela K., Eriksson, Olof, Hellsten, Hans, Herbertsson, Hans, Keskin, Musa Furkan, Nilsson, Emil, Rydström, Mats, Vanäs, Karl, Wymeersch, Henk |
Rok vydání: |
2019 |
Předmět: |
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Druh dokumentu: |
Working Paper |
Popis: |
Autonomous driving relies on a variety of sensors, especially on radars, which have unique robustness under heavy rain/fog/snow and poor light conditions. With the rapid increase of the amount of radars used on modern vehicles, where most radars operate in the same frequency band, the risk of radar interference becomes a compelling issue. This article analyses automotive radar interference and proposes several new approaches, which combine industrial and academic expertise, toward the path of interference-free autonomous driving. |
Databáze: |
arXiv |
Externí odkaz: |
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