US Patent Application 18246144. METHOD FOR MONITORING SURROUNDINGS OF A FIRST SENSOR SYSTEM simplified abstract

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METHOD FOR MONITORING SURROUNDINGS OF A FIRST SENSOR SYSTEM

Organization Name

Robert Bosch GmbH


Inventor(s)

Sebastian Muenzner of Ludwigsburg (DE)

Alexandru Paul Condurache of Renningen (DE)

Claudius Glaeser of Ditzingen (DE)

Fabian Timm of Renningen (DE)

Florian Drews of Renningen (DE)

Florian Faion of Staufen (DE)

Jasmin Ebert of Heidelberg (DE)

Lars Rosenbaum of Lahntal (DE)

Michael Ulrich of Stuttgart (DE)

Rainer Stal of Zurich (CH)

Thomas Gumpp of Dillingen (DE)

METHOD FOR MONITORING SURROUNDINGS OF A FIRST SENSOR SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18246144 titled 'METHOD FOR MONITORING SURROUNDINGS OF A FIRST SENSOR SYSTEM

Simplified Explanation

The patent application describes a method for monitoring the surroundings using a first sensor system and improving the monitoring with the aid of a second sensor system.

  • The method involves providing a temporal sequence of data from the first sensor system for monitoring the surroundings.
  • An input tensor is generated, which includes the temporal sequence of data from the first sensor system, and is used as input for a trained neural network.
  • The neural network is configured and trained to identify subregions of the surroundings based on the input tensor.
  • The identified subregions can help improve the monitoring of the surroundings using the second sensor system.
  • A control signal is generated for the second sensor system using the output signal of the trained neural network.
  • The control signal helps improve the monitoring of the surroundings specifically in the identified subregions.


Original Abstract Submitted

A method for monitoring surroundings of a first sensor system. The method includes: providing a temporal sequence of data of the first sensor system for monitoring the surroundings; generating an input tensor including the temporal sequence of data of the first sensor system, for a trained neural network; the neural network being configured and trained to identify, on the basis of the input tensor, at least one subregion of the surroundings, in order to improve the monitoring of the surroundings with the aid of a second sensor system; generating a control signal for the second sensor system with the aid of an output signal of the trained neural network, in order to improve the monitoring of the surroundings in the at least one subregion.