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公开(公告)号：US12055621B2
公开(公告)日：2024-08-06
申请号：US17280691
申请日：2019-12-17
申请人： Robert Bosch GmbH
发明人： Chun Yang , Sebastian Muenzner , Fabian Timm , Jasmin Ebert , Zoltan Karasz
IPC分类号： G01S13/68 , G01S7/41 , G01S13/42 , G01S13/931
CPC分类号： G01S13/68 , G01S7/415 , G01S7/417 , G01S13/42 , G01S13/931 , G01S2013/9318
摘要： 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.
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公开(公告)号：US20230358879A1
公开(公告)日：2023-11-09
申请号：US18246144
申请日：2021-11-03
申请人： Robert Bosch GmbH
发明人： Sebastian Muenzner , Alexandru Paul Condurache , Claudius Glaeser , Fabian Timm , Florian Drews , Florian Faion , Jasmin Ebert , Lars Rosenbaum , Michael Ulrich , Rainer Stal , Thomas Gumpp
CPC分类号： G01S13/867 , G06V20/58 , G01S13/865
摘要： 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.
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公开(公告)号：US20220083820A1
公开(公告)日：2022-03-17
申请号：US17475500
申请日：2021-09-15
申请人： Robert Bosch GmbH
发明人： Mark Schoene , Alexandru Paul Condurache , Claudius Glaeser , Florian Faion , Florian Drews , Jasmin Ebert , Lars Rosenbaum , Michael Ulrich , Rainer Stal , Sebastian Muenzner , Thomas Gumpp
摘要： A method for creating a training dataset, a validation dataset, and/or a test dataset for an AI module from measurement data includes dividing the measurement data into divided portions based on time periods, applying a mathematical function to the divided portions of the measurement data in order to obtain signatures representing the divided portions, determining a measure of a frequency of occurrence of a respective signature of the obtained signatures, and creating the training dataset, the validation dataset, and/or the test dataset from the measurement data based on the determined measure of the frequency.
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公开(公告)号：US20220003860A1
公开(公告)日：2022-01-06
申请号：US17280691
申请日：2019-12-17
申请人： Robert Bosch GmbH
发明人： Chun Yang , Sebastian Muenzner , Fabian Timm , Jasmin Ebert , Zoltan Karasz
IPC分类号： G01S13/68 , G01S7/41 , G01S13/42 , G01S13/931
摘要： 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.
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公开(公告)号：US20230358877A1
公开(公告)日：2023-11-09
申请号：US18245105
申请日：2021-09-15
申请人： Robert Bosch GmbH
发明人： Alex Matskevych , Thomas Gumpp , Alexandru Paul Condurache , Claudius Glaeser , Jasmin Ebert , Sebastian Muenzner
IPC分类号： G01S13/72 , G01S13/931 , G01S7/41
CPC分类号： G01S13/72 , G01S13/931 , G01S7/417
摘要： A method is for tracking an object using an environment sensor. The object is represented by an object status. The method includes detecting a sensor value of the environment sensor, predicting a future object status of the object, and updating the object status using a Bayesian filter. The updating includes using an artificial intelligence module (“AI module”). The AI module is trained such that the detected sensor value is associated with the object and the object status of the object is updated based on the predicted future object status of the object and the detected sensor value.
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6.发明授权公开(公告)号：US11455791B2
公开(公告)日：2022-09-27
申请号：US16925454
申请日：2020-07-10
申请人： Robert Bosch GmbH
发明人： Florian Faion , Alexandru Paul Condurache , Claudius Glaeser , Florian Drews , Jasmin Ebert , Lars Rosenbaum , Rainer Stal , Sebastian Muenzner , Thomas Gumpp
摘要： A method for the detection of an object in an environment of a vehicle as a function of sensor signals of a sensor for acquiring the environment of the vehicle. The method includes: processing the sensor signals using a region proposal network to obtain at least one object hypothesis per anchor, the object hypothesis including an object probability and a bounding box; selecting the best object hypothesis on the basis of a quality model, the quality model being a function of the anchor and the bounding box of the object hypothesis; identifying redundant object hypotheses relative to the selected object hypothesis, the redundant object hypotheses being identified as a function of the anchors of the redundant object hypotheses, using a target function assigned to the region proposal network; and fusing the selected object hypothesis with the identified redundant object hypotheses for the object detection.
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7.发明申请公开(公告)号：US20210027082A1
公开(公告)日：2021-01-28
申请号：US16925454
申请日：2020-07-10
申请人： Robert Bosch GmbH
发明人： Florian Faion , Alexandru Paul Condurache , Claudius Glaeser , Florian Drews , Jasmin Ebert , Lars Rosenbaum , Rainer Stal , Sebastian Muenzner , Thomas Gumpp
摘要： A method for the detection of an object in an environment of a vehicle as a function of sensor signals of a sensor for acquiring the environment of the vehicle. The method includes: processing the sensor signals using a region proposal network to obtain at least one object hypothesis per anchor, the object hypothesis including an object probability and a bounding box; selecting the best object hypothesis on the basis of a quality model, the quality model being a function of the anchor and the bounding box of the object hypothesis; identifying redundant object hypotheses relative to the selected object hypothesis, the redundant object hypotheses being identified as a function of the anchors of the redundant object hypotheses, using a target function assigned to the region proposal network; and fusing the selected object hypothesis with the identified redundant object hypotheses for the object detection.
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公开(公告)号：US20200379087A1
公开(公告)日：2020-12-03
申请号：US16878814
申请日：2020-05-20
申请人： Robert Bosch GmbH
发明人： Chun Yang , Sebastian Muenzner , Zoltan Karasz , Fabian Timm , Jasmin Ebert , Laszlo Anka
摘要： A method for generating radar reflection points comprising the steps of: providing a plurality of predefined radar reflection points of at least one first object detected by a radar and at least one first scenario description describing a first environment related to the detected first object; converting the predefined radar reflection points into at least one first power distribution pattern image related to a distribution of a power returning from the detected first object; training a model based on the first power distribution pattern image and the first scenario description; providing at least one second scenario description describing a second environment related to a second object; generating at least one second power distribution pattern image related to a distribution of a power returning from the second object based on the trained model and the second scenario description; and sampling the second power distribution pattern image.
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