Aptiv Technologies Ag

Markus Stefer

Uri Iurgel

Ahmad Pishehvari

Alexander Ioffe

Konstantin Statnikov

Adrian Becker

Arne Grumpe

Mohannad Saifo

Anton Feldmann

This document describes techniques and systems for enabling more-accurate single-point radar cross section (RCS) approaches for radar simulations without introducing orders of complexity. For automotive radar applications, considering variations in RCS radial patterns, with both angle and range, and because of analytically calculated multi-path effects and near-field RCS effects improves simulation accuracy by incorporating multi-path phenomenon that is present due to ground reflections. The described techniques are performed without using full scale ray-tracing or other computationally demanding techniques.

Single-point radar cross section approaches for radar simulation

A computer implemented method for determining a direction of arrival of a radar detection comprises the following steps carried out by computer hardware components: acquiring a complex-valued beamvector of the radar detection; processing the complex-valued beamvector by a machine learning module in the complex domain; and obtaining the direction of arrival as an output of the machine learning module.

Methods and systems for determining a direction of arrival of a radar detection

A computer-implemented method for determining a position of a vehicle is disclosed, wherein the vehicle is equipped with a sensor for capturing scans of a vicinity of the vehicle, wherein the method comprises at least the following steps carried out by computer-hardware components: capturing at least one scan by means of the sensor with a plurality of sensor data samples given in a sensor data representation; determining, from a database, a predefined map with at least one element is given in a map data representation; determining a transformed map by transforming the at least one element of the predefined map from the map data representation into the sensor data representation; matching at least a subset of the sensor data samples of the at least one scan and the at least one element of the transformed map; and determining the position of the vehicle based on the matching.

Method for determining position data and/or motion data of a vehicle

Method for determining a position of a vehicle

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Remscheid, Germany

Markus Stefer