Aptiv Technologies Ag

Aptiv Technologies Limited

Florian Kästner

Adrian Becker

Mirko Meuter

Yu Su

Weimeng Zhu

Markus Schoeler

Stephanie Lessmann

Jan Siegemund

Arne Grumpe

Moritz Luszek

Alessandro Cennamo

Dominic Spata

Jittu Kurian

Simon Roesler

Zhiheng Niu

Saeid Khalili Dehkordi

Sven Labusch

Marco Braun

Kevin Kollek

A computer implemented method for detection of objects in a vicinity of a vehicle comprises the following steps carried out by computer hardware components: acquiring radar data from a radar sensor; determining a plurality of features based on the radar data; providing the plurality of features to a single detection head; and determining a plurality of properties of an object based on an output of the single detection head.

Methods and systems for detection of objects in a vicinity of a vehicle

A computer implemented method for processing radar reflections includes receiving radar reflections by at least one radar sensor; determining a target angle under which radar reflections related to a potential target are received by the at least one radar sensor; and determining an energy of radar reflections received by the at least one radar sensor under a pre-determined angular region around the target angle.

Methods and systems for processing radar reflections

A computer implemented method for object detection includes: determining a grid, the grid comprising a plurality of grid cells; determining, for a plurality of time steps, for each grid cell, a plurality of respective radar detection data, each radar detection data indicating a plurality of radar properties; determining, for each time step, a respective radar map indicating a pre-determined radar map property in each grid cell; converting the respective radar detection data of the plurality of grid cells for the plurality of time steps to a point representation of pre-determined first dimensions; converting the radar maps for the plurality of time steps to a map representation of pre-determined second dimensions, wherein the pre-determined first dimensions and the pre-determined second dimensions are at least partially identical; concatenating the point representation and the map representation to obtain concatenated data; and carrying out object detection based on the concatenated data.

Methods and systems for object detection

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Bochum, Germany

Florian Kästner