Autonomous Driving Features based on 79 GHz Polarimetric Radar Data

Abstract

Predicting the behavior of the environment precisely is an important challenge of autonomous driving. With this purpose in mind, the potential of polarimetric radar technology is shown in this paper. The main features like object identification and exact contour detection allow the analysis of different layers of velocity and, thus, a clearer target classification. Another key feature is street condition measurement, which is necessary to calculate safe velocities, for example for driving around a curve. These polarimetric features are explained with examples which include actual radar data and signal analysis.