Patents by Inventor Florian KÄSTNER

Florian KÄSTNER has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12352849
    Abstract: 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.
    Type: Grant
    Filed: July 23, 2021
    Date of Patent: July 8, 2025
    Assignee: Aptiv Technologies AG
    Inventors: Mirko Meuter, Jittu Kurian, Yu Su, Jan Siegemund, Zhiheng Niu, Stephanie Lessmann, Saeid Khalili Dehkordi, Florian Kästner, Igor Kossaczky, Sven Labusch, Arne Grumpe, Markus Schoeler, Moritz Luszek, Weimeng Zhu, Adrian Becker, Alessandro Cennamo, Kevin Kollek, Marco Braun, Dominic Spata, Simon Roesler
  • Publication number: 20250189973
    Abstract: A computer-implemented method for driving assistance in a vehicle. The method includes generating, based on radar point sensor data of an environment of the vehicle, a three-dimensional occupancy grid map (3D OGM). The method includes generating, based on the radar point sensor data, a number of feature grid maps (FGMs). A respective feature dimension of each of the FGMs corresponds to a feature of the radar point sensor data. The method includes generating, based on the 3D OGM and the number of FGMs, a refined occupancy grid (OGM). The method includes providing the refined OGM for usage by an assistance system of the vehicle.
    Type: Application
    Filed: October 2, 2024
    Publication date: June 12, 2025
    Inventors: Dominic Spata, Florian Kästner, Jens Westerhoff
  • Publication number: 20250027790
    Abstract: A computer implemented method for calibrating a motion sensor arranged at a vehicle and configured to output a raw motion measurement value indicative of a current motion condition of the vehicle comprises: computing processed motion measurement values by modifying the outputted raw motion measurement value based on a set of different calibration parameters, monitoring the vicinity of the vehicle by means of an environment perception sensor, determining a set of occupancy maps by means of mapping data acquired by the environment perception sensor in accordance with a motion model for the vehicle, wherein each of the processed motion measurement values is used to establish the motion model for one of the occupancy maps, and selecting, based on a comparison of the determined occupancy maps, one of the different calibration parameters for modifying subsequently outputted raw motion measurement values.
    Type: Application
    Filed: June 28, 2024
    Publication date: January 23, 2025
    Applicant: Aptiv Technologies AG
    Inventors: Jens Westerhoff, Dominic Spata, Florian Kastner, Uri Iurgel
  • Patent number: 12130381
    Abstract: 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.
    Type: Grant
    Filed: June 24, 2020
    Date of Patent: October 29, 2024
    Assignee: Aptiv Technologies AG
    Inventors: Florian Kästner, Markus Schoeler, Mirko Meuter, Adrian Becker
  • Publication number: 20240159870
    Abstract: A computer-implemented method analyzes radar data. The method includes acquiring the radar data from one or more radar sensors. The method includes processing the radar data to derive output data including spatial points with associated features. The method includes receiving the output data as input data. The method includes analyzing the radar data based on the input data.
    Type: Application
    Filed: November 9, 2023
    Publication date: May 16, 2024
    Inventors: Sven Labusch, Adrian Becker, Igor Kossaczký, Arne Grumpe, Florian Kästner, Alessandro Cennamo, Mirko Meuter
  • Patent number: 11604272
    Abstract: 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.
    Type: Grant
    Filed: June 18, 2020
    Date of Patent: March 14, 2023
    Assignee: APTIV TECHNOLOGIES LIMITED
    Inventors: Yu Su, Weimeng Zhu, Florian Kästner, Adrian Becker
  • Publication number: 20220026568
    Abstract: 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.
    Type: Application
    Filed: July 23, 2021
    Publication date: January 27, 2022
    Inventors: Mirko Meuter, Jittu Kurian, Yu Su, Jan Siegemund, Zhiheng Niu, Stephanie Lessmann, Saeid Khalili Dehkordi, Florian Kästner, Igor Kossaczky, Sven Labusch, Arne Grumpe, Markus Schoeler, Moritz Luszek, Weimeng Zhu, Adrian Becker, Alessandro Cennamo, Kevin Kollek, Marco Braun, Dominic Spata, Simon Roesler
  • Publication number: 20210018615
    Abstract: 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.
    Type: Application
    Filed: June 18, 2020
    Publication date: January 21, 2021
    Inventors: Yu SU, Weimeng ZHU, Florian KÄSTNER, Adrian BECKER
  • Publication number: 20210018593
    Abstract: 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.
    Type: Application
    Filed: June 24, 2020
    Publication date: January 21, 2021
    Inventors: Florian KÄSTNER, Markus SCHOELER, Mirko MEUTER, Adrian BECKER