Patents by Inventor Julian Eggert

Julian Eggert 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).

  • Publication number: 20210156711
    Abstract: The invention relates to a method for analyzing localization errors, wherein the method includes the steps of obtaining relative positions and absolute positions of an object moving within a mapped environment, which are generated sequentially over time, calculating differences between the relative positions and absolute positions to determine sequential localization errors, and decomposing the localization errors into a systematic error that is dependent on the orientation of the object and into a systematic error that is independent on the orientation of the object by analyzing the intrinsic dynamics of the localization errors.
    Type: Application
    Filed: November 26, 2020
    Publication date: May 27, 2021
    Applicant: Honda Research Institute Europe GmbH
    Inventors: Benedict Flade, Julian Eggert, Axel Koppert, Simon Kohaut
  • Patent number: 10937175
    Abstract: The method for assisting a person in operating in a dynamic environment may form part of a mobility assistance system. The method comprises a step of acquiring sensor data comprising a time sequence of at least two consecutive images of the dynamic environment from at least one sensor, for example a camera. Optical flows are calculated based on the at least two consecutive images. Feature scores associated to spatial positions for selected regions in an image space are determined in order to generate a feature score field. An output signal including directional stimulus information is generated based on the generated feature score field, wherein the directional stimulus information comprises information on relative spatial relations between the selected regions. The generated output signal is provided to at least one actuator, which signals the directional stimulus information to the person.
    Type: Grant
    Filed: February 21, 2019
    Date of Patent: March 2, 2021
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Matti Kruger, Heiko Wersing, Julian Eggert
  • Publication number: 20200231149
    Abstract: The present invention relates to a method for use in a driver assistance system of an ego-vehicle. The method supports driving of the ego-vehicle and comprises the steps of retrieving a priority relationship between the ego-vehicle and at least one traffic participant involved in a traffic situation; selecting a prediction model for the at least one traffic participant depending on the priority relationship; predicting at last one hypothetical future trajectory for the ego-vehicle and, based on the selected prediction model, at last one hypothetical future trajectory for the at least one traffic participant; and calculating a behavior relevant score for ego-vehicle based on the calculated hypothetical future trajectories.
    Type: Application
    Filed: January 17, 2020
    Publication date: July 23, 2020
    Inventors: Julian EGGERT, Tim PUPHAL, Malte PROBST
  • Patent number: 10627812
    Abstract: An automotive driver assistance for a vehicle with an improved capability to handle obstructed sensor coverage includes steps of acquiring sensor data on an environment of the vehicle from at least one sensor, of generating an environment representation based on the acquired sensor data and of predicting at least one behavior of the vehicle. The method determines at least one area in the environment of the vehicle wherein for the at least one area either a confidence for the sensor data is below a threshold or no sensor data is available and generates at least one virtual traffic entity in the at least one determined area, wherein the virtual traffic entity is adapted to interact with the at least one predicted behavior of the vehicle. A risk measure for each combination of the at least one virtual traffic entity and the predicted behavior of the vehicle is estimated, the calculated risk measure is evaluated and a controlling action for the vehicle is executed based on the evaluated risk measure.
    Type: Grant
    Filed: February 13, 2018
    Date of Patent: April 21, 2020
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Julian Eggert, Tim Puphal, Tsukasa Sugino, Florian Damerow
  • Publication number: 20190259167
    Abstract: The method for assisting a person in operating in a dynamic environment may form part of a mobility assistance system. The method comprises a step of acquiring sensor data comprising a time sequence of at least two consecutive images of the dynamic environment from at least one sensor, for example a camera. Optical flows are calculated based on the at least two consecutive images. Feature scores associated to spatial positions for selected regions in an image space are determined in order to generate a feature score field. An output signal including directional stimulus information is generated based on the generated feature score field, wherein the directional stimulus information comprises information on relative spatial relations between the selected regions. The generated output signal is provided to at least one actuator, which signals the directional stimulus information to the person.
    Type: Application
    Filed: February 21, 2019
    Publication date: August 22, 2019
    Inventors: Matti KRUGER, Heiko WERSING, Julian EGGERT
  • Patent number: 10220841
    Abstract: An advanced driver assistant system and a method for assisting a driver of a vehicle in driving the vehicle. The system includes sensing means for sensing an environment of the vehicle, a storing unit for storing a database for storing prototypical situations associated with risk information, a processing unit and an output unit to output an assistance signal on the basis of which driver information can be output and/or vehicle operators can be actuated. The processing unit is configured to determine parameters of the vehicle and/or objects in the environment of the vehicle based upon the sensing means output, to classify a traffic situation on the basis of the determined parameters by comparing the determined parameters with parameters of the prototypical traffic situations, to extract risk information from the database and to calculate an expected risk for the encountered traffic situation on the basis of the extracted risk information.
    Type: Grant
    Filed: October 21, 2016
    Date of Patent: March 5, 2019
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Bernhard Sendhoff, Julian Eggert
  • Patent number: 10129521
    Abstract: In one aspect, an image processing method for processing images is provided, comprising the steps of: obtaining, from an optical sensor, at least two images, determining an image warping function at least partially compensating the distortion, applying the determined image warping function to the image including the distortion, and calculating by a processing unit, and outputting, a depth and/or disparity image from the at least two images.
    Type: Grant
    Filed: January 10, 2014
    Date of Patent: November 13, 2018
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Nils Einecke, Julian Eggert
  • Publication number: 20180231974
    Abstract: An automotive driver assistance for a vehicle with an improved capability to handle obstructed sensor coverage includes steps of acquiring sensor data on an environment of the vehicle from at least one sensor, of generating an environment representation based on the acquired sensor data and of predicting at least one behavior of the vehicle. The method determines at least one area in the environment of the vehicle wherein for the at least one area either a confidence for the sensor data is below a threshold or no sensor data is available and generates at least one virtual traffic entity in the at least one determined area, wherein the virtual traffic entity is adapted to interact with the at least one predicted behavior of the vehicle. A risk measure for each combination of the at least one virtual traffic entity and the predicted behavior of the vehicle is estimated, the calculated risk measure is evaluated and a controlling action for the vehicle is executed based on the evaluated risk measure.
    Type: Application
    Filed: February 13, 2018
    Publication date: August 16, 2018
    Inventors: Julian EGGERT, Tim PUPHAL, Tsukasa SUGINO, Florian DAMEROW
  • Publication number: 20170113685
    Abstract: An advanced driver assistant system and a method for assisting a driver of a vehicle in driving the vehicle. The system includes sensing means for sensing an environment of the vehicle, a storing unit for storing a database for storing prototypical situations associated with risk information, a processing unit and an output unit to output an assistance signal on the basis of which driver information can be output and/or vehicle operators can be actuated. The processing unit is configured to determine parameters of the vehicle and/or objects in the environment of the vehicle based upon the sensing means output, to classify a traffic situation on the basis of the determined parameters by comparing the determined parameters with parameters of the prototypical traffic situations, to extract risk information from the database and to calculate an expected risk for the encountered traffic situation on the basis of the extracted risk information.
    Type: Application
    Filed: October 21, 2016
    Publication date: April 27, 2017
    Inventors: Bernhard SENDHOFF, Julian EGGERT
  • Patent number: 9516274
    Abstract: The present invention presents a sensing system 1 and a corresponding method for detecting moving objects 11 in the surroundings of a vehicle 10. The sensing system 1 comprises an imaging unit 2 for obtaining an image stream 2a, a computing unit 3 for analyzing the image stream 2a, and a control unit 4 for controlling the vehicle 10 based on the analysis result of the computing unit 3. The sensing system 1 particularly employs a background-model-free estimation. The sensing system 1 is configured to perform a local analysis of two neighboring motion vectors 6, which are computed from points 7a in images 5a, 5b of the image stream 2a, and to determine, whether the points 7a corresponding to these motion vectors 6 belong to a particularly moving object.
    Type: Grant
    Filed: August 15, 2013
    Date of Patent: December 6, 2016
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Joerg Deigmoeller, Julian Eggert, Nils Einecke
  • Patent number: 9463797
    Abstract: A method supports driving an ego-vehicle including a driver assistance system. A traffic participant or infrastructure element involved in the traffic situation is selected and taken into consideration for traffic scene analysis. A hypothetical future trajectory for the ego-vehicle is predicted by predicting the current state of the ego-vehicle and varied to generate a plurality of ego-trajectory alternatives including the calculated hypothetical future ego-trajectory. A hypothetical future trajectory from another traffic participant gained by predicting the current state of the traffic participant or calculating a hypothetical future state sequence of the infrastructure element is determined. Based upon at least one pair of ego-trajectory plus one other trajectory risk functions over time or along the calculated hypothetical future ego-trajectory alternatives are calculated. One risk function corresponds to one ego-trajectory alternative. The risk functions are combined into a risk map.
    Type: Grant
    Filed: April 21, 2015
    Date of Patent: October 11, 2016
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Florian Damerow, Julian Eggert
  • Publication number: 20160236683
    Abstract: A method for improving prediction results of advanced driver assistance systems of a vehicle includes obtaining map data including information about a road geometry in a proximity of the vehicle. A sensor means is assigned, sensing a surrounding of the vehicle. A virtual sensing means output is generated, corresponding to an output of the sensing means if the sensing means. The generation is based on a mathematical model of the sensing means. The surrounding of the vehicle is sensed, and a sensing means output is generated. The sensing means output is compared to the virtual sensing means output. Parameters of the mathematical model are modified, and the virtual sensing means output are generated and compared to the sensing means output. Map data is combined with information derived from the sensing means output to generate combined information, which is output for further processing.
    Type: Application
    Filed: February 10, 2016
    Publication date: August 18, 2016
    Inventors: Julian EGGERT, Andreas RICHTER, Florian DAMEROW
  • Patent number: 9330472
    Abstract: The invention provides an image processing method for processing a sequence of images, comprising the steps of: obtaining, from a visual sensor, at least two images of the sequence of images, detecting whether the images include a distortion, determining an image warping function at least partially compensating the distortion, applying the determined warping function to the image(s) including the distortion, and calculating by a processing unit, and outputting, an optical flow as a displacement vector field form the images.
    Type: Grant
    Filed: January 10, 2014
    Date of Patent: May 3, 2016
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Joerg Deigmoeller, Nils Einecke, Julian Eggert
  • Patent number: 9208576
    Abstract: The invention presents a method for comparing the similarity between image patches comprising the steps of receiving form at least two sources at least two image patches, wherein each source supplies an image patch, comparing the received image patches by extracting a number of corresponding subpart pairs from each image patch, calculating a normalized local similarity score between all corresponding subpart pairs, calculating a total matching score by integrating the local similarity scores of all corresponding subpart pairs, and using the total matching score as an indicator for an image patch similarity, determining corresponding similar image patches based on the total matching score.
    Type: Grant
    Filed: May 6, 2011
    Date of Patent: December 8, 2015
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Julian Eggert, Nils Einecke
  • Publication number: 20150344030
    Abstract: A method supports driving an ego-vehicle including a driver assistance system. A traffic participant or infrastructure element involved in the traffic situation is selected and taken into consideration for traffic scene analysis. A hypothetical future trajectory for the ego-vehicle is predicted by predicting the current state of the ego-vehicle and varied to generate a plurality of ego-trajectory alternatives including the calculated hypothetical future ego-trajectory. A hypothetical future trajectory from another traffic participant gained by predicting the current state of the traffic participant or calculating a hypothetical future state sequence of the infrastructure element is determined. Based upon at least one pair of ego-trajectory plus one other trajectory risk functions over time or along the calculated hypothetical future ego-trajectory alternatives are calculated. One risk function corresponds to one ego-trajectory alternative. The risk functions are combined into a risk map.
    Type: Application
    Filed: April 21, 2015
    Publication date: December 3, 2015
    Inventors: Florian DAMEROW, Julian EGGERT
  • Patent number: 8933797
    Abstract: The present invention proposes a warning system that can be implemented in any kind of vehicle, in order to efficiently detect moving objects. The system utilizes at least one camera for a continuous imaging of the surroundings of the vehicle. Thereby, moving objects can be monitored. A computing unit is programmed to estimate a motion of any moving object based on a pixel motion in the camera image. If a dangerously moving object is detected, a warning unit can be used for issuing a warning signal. To take such a decision, the estimated motion of at least one of the moving objects can be correlated or compared to predetermined motion patterns.
    Type: Grant
    Filed: September 12, 2012
    Date of Patent: January 13, 2015
    Assignee: Honda Research Institute Europe GmbH
    Inventors: Jörg Deigmöller, Julian Eggert, Herbert Janssen, Oliver Fuchs
  • Publication number: 20140225990
    Abstract: In one aspect, an image processing method for processing images is provided, comprising the steps of: obtaining, from an optical sensor, at least two images, determining an image warping function at least partially compensating the distortion, applying the determined image warping function to the image including the distortion, and calculating by a processing unit, and outputting, a depth and/or disparity image from the at least two images.
    Type: Application
    Filed: January 10, 2014
    Publication date: August 14, 2014
    Applicant: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Nils EINECKE, Julian EGGERT
  • Publication number: 20140198955
    Abstract: The invention provides an image processing method for processing a sequence of images, comprising the steps of: obtaining, from a visual sensor, at least two images of the sequence of images, detecting whether the images include a distortion, determining an image warping function at least partially compensating the distortion, applying the determined warping function to the image(s) including the distortion, and calculating by a processing unit, and outputting, an optical flow as a displacement vector field form the images.
    Type: Application
    Filed: January 10, 2014
    Publication date: July 17, 2014
    Applicant: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Joerg DEIGMOELLER, Nils EINECKE, Julian EGGERT
  • Patent number: 8711221
    Abstract: Estimating the dynamic states of a real-world object over time using a camera, two dimensional (2D) image information and a combination of different measurements of the distance between the object and the camera. The 2D image information is used to track a 2D position of the object as well as its 2D size of the appearance and change in the 2D size of the appearance of the object. In addition, the distance between the object and the camera is obtained from one or more direct depth measurements. The 2D position, the 2D size, and the depth of the object are coupled to obtain an improved estimation of three dimensional (3D) position and 3D velocity of the object. The object tracking apparatus uses the improved estimation to track real-world objects. The object tracking apparatus may be used on a moving platform such as a robot or a car with mounted cameras for a dynamic visual scene analysis.
    Type: Grant
    Filed: December 9, 2008
    Date of Patent: April 29, 2014
    Assignee: Honda Research Institute Europe GmbH
    Inventors: Julian Eggert, Sven Rebhan, Volker Willert, Chen Zhang
  • Patent number: 8670604
    Abstract: The invention proposes a method for object and object configuration tracking based on sensory input data, the method comprising the steps of: (1.1) Basic recruiting: Detecting interesting parts in sensory input data which are not yet covered by already tracked objects and incrementally initializing basic tracking models for these parts to continuously estimate their states, (1.2) Tracking model complexity adjustment: Testing, during runtime more complex and more simple prediction and/or measurement models on the tracked objects, and (1.3) Basic release: Releasing trackers from parts of the sensory data where the tracker prediction and measurement processes do not get sufficient sensory support for some time.
    Type: Grant
    Filed: November 22, 2010
    Date of Patent: March 11, 2014
    Assignee: Honda Research Institute Europe GmbH
    Inventors: Julian Eggert, Chen Zhang