Radar Interference Mitigation for Automated Driving

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:
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