Robert Boschgmbh

Fabian Timm

Jasmin Ebert

Claudius Glaeser

Florian Faion

Sebastian Muenzner

Lars Rosenbaum

Florian Drews

Michael Ulrich

Rainer Stal

Alexandru Paul Condurache

Thomas Gumpp

Chun Yang

Zoltan Karasz

Laszlo Anka

Learning extraction of movement information from sensor data includes providing a time series of frames of sensor data recorded by physical observation of an object, providing a time series of object boundary boxes each encompassing the object in sensor data frames, supplying the object boundary box at a time t, as well as a history of sensor data from the sensor data time series, and/or a history of object boundary boxes from the time series of object boundary boxes, prior to time t to a trainable machine learning model which predicts an object boundary box for a time t+k, comparing the predicted object boundary box with a comparison box obtained from the time series of object boundary boxes for the time t+k, evaluating a deviation between the predicted object boundary box and the comparison box using a predetermined cost function, and optimizing parameters which characterize the behavior of the model.

Method for training and operating movement estimation of objects

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.

Method for monitoring surroundings of a first sensor system

A method for determining the spatial orientation of an object from at least one measuring signal which includes the response of the object to electromagnetic interrogation radiation. A method for predicting the trajectory of at least one object from at least one measuring signal which includes the response of the object to electromagnetic interrogation radiation, in conjunction with a scalar velocity of the object. A method for training a classifier and/or a regressor.

Determining the orientation of objects using radar or through the use of electromagnetic interrogation radiation

A method for determining a state of the surrounding area of a vehicle includes: receiving sensor data of at least one surrounding-area sensor of the vehicle; feeding at least a first portion of the sensor data into at least one first classifier; generating an intermediate probability from the first portion of the sensor data, using the first classifier; feeding at least a second portion of the sensor data and the at least one intermediate probability into a second classifier; generating a final probability of the state of the surrounding area from the second portion of the sensor data and the at least one intermediate probability, using the second classifier.

Determining a state of the surrounding area of a vehicle, using linked classifiers

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Renningen, Germany

Fabian Timm