Patents Assigned to Honda Research Institute Europe GmbH
  • Patent number: 9308919
    Abstract: The invention relates to a driving assistance system including a prediction subsystem in a vehicle. According to a method aspect of the invention, the method comprises the steps of accepting a set of basic environment representations; allocating a set of basic confidence estimates; associating weights to the basic confidence estimates; calculating a weighted composite confidence estimate for a composite environment representation; and providing the weighted composite confidence estimate as input for an evaluation of a prediction based on the composite environment representation.
    Type: Grant
    Filed: October 22, 2014
    Date of Patent: April 12, 2016
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventor: Jens Schmüdderich
  • 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
  • Patent number: 9202466
    Abstract: The invention presents a method for analyzing speech in a spoken dialog system, comprising the steps of: accepting an utterance by at least one means for accepting acoustical signals, in particular a microphone, analyzing the utterance and obtaining prosodic cues from the utterance using at least one processing engine, wherein the utterance is evaluated based on the prosodic cues to determine a prominence of parts of the utterance, and wherein the utterance is analyzed to detect at least one marker feature, e.g. a negative statement, indicative of the utterance containing at least one part to replace at least one part in a previous utterance, the part to be replaced in the previous utterance being determined based on the prominence determined for the parts of the previous utterance and the replacement parts being determined based on the prominence of the parts in the utterance, and wherein the previous utterance is evaluated with the replacement part(s).
    Type: Grant
    Filed: March 18, 2013
    Date of Patent: December 1, 2015
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventor: Martin Heckmann
  • Patent number: 9137943
    Abstract: The present invention proposes a profound user-mower interaction, which enables the user to teach a robotic lawn mower for improving its visual obstacle detection. The main idea of the invention is that the user can show some typical obstacles from his garden to the mower. This will increases the performance of the visual obstacle detection. In the simplest scenario the user just places the mower in front of an obstacle, and activates the learning mechanism of the classification means (module) of the mower. The increasing use of smart devices such as smart phones or tablets enables also more elaborated learning. For example, the mower can send the input image to the smart device, and the user can provide a detailed annotation of the image. This will drastically improve the learning, because the mower is provided with ground truth information.
    Type: Grant
    Filed: July 26, 2013
    Date of Patent: September 22, 2015
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Nils Einecke, Mathias Franzius, Heiko Wersing
  • Patent number: 9127956
    Abstract: A technique for assigning lanes on a road to objects moving in a vicinity of a vehicle on the road is proposed. A method embodiment of the invention comprises the steps of providing trajectories, wherein the or each trajectory represents a time sequence of positions of a moving object; selecting first and second objects and determining a distance between a current position of the first object and the trajectory of the second object; comparing the distance with a predefined threshold; and providing, based on a result of the comparison, a lane assignment indicating a lane to which the second object is assigned.
    Type: Grant
    Filed: July 8, 2014
    Date of Patent: September 8, 2015
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Nils Einecke, Sven Rebhan
  • Patent number: 9104965
    Abstract: An anticipatory monitoring and prediction system can include methods for generating effective, accurate predictions of other traffic objects in the vicinity of an ego-car. The invention proposes to combine approximate probability distributions (ADPs) of agent states with Attractor Functions (AFs) for generating distributed probabilistic representations of the potential future states of the observed traffic objects. AFs are selected based on both the current road context, in which the ego-car is situated, and the current states of all participating objects. The generated predictions can be used to filter incoming sensory information for better object state estimations, rate the nature of the behavior of other traffic objects by comparing generated predictions with actual perceived sensor information, or infer accident likelihoods by comparing the predicted state distributions of objects and the ego-car. Warning and information signals or control commands can be issued in a driving assistance system.
    Type: Grant
    Filed: January 7, 2013
    Date of Patent: August 11, 2015
    Assignee: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Jan Fritsch, Martin Butz, Andreas Alin
  • Patent number: 8958939
    Abstract: The present invention presents a method and system for an autonomous mower attached with a camera, wherein the control of the parameters of the camera and the control of the mower movement and grass detection are optimized holistically during operation. The present invention mitigates the camera sensing limits by adapting the movement speed of the mower. Furthermore, the camera control optimizes the visibility of grass by using the grass mask of a grass segmentation to calculate updated exposure, gain and aperture values only from grass pixels. The grass segmentation tracks changes in the grass color that are caused by illumination differences. Optionally, the system is equipped with a head light used to further improve the camera signal quality in conjunction with the control of the camera parameters and the movement speed of the mower.
    Type: Grant
    Filed: January 10, 2013
    Date of Patent: February 17, 2015
    Assignee: Honda Research Institute Europe GmbH
    Inventors: Nils Einecke, Mathias Franzius
  • 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
  • Patent number: 8903588
    Abstract: A method for computationally predicting future movement behaviors of at least one target object can have the steps of producing sensor data by at least one sensor physically sensing the environment of a host vehicle, and computing a plurality of movement behavior alternatives of a target object sensed by the sensor(s). The context based prediction step uses a set of classifiers, each classifier estimating a probability that said sensed target object will execute a movement behavior at a time. The method can also include validating the movement behavior alternatives by a physical prediction comparing measured points with trajectories of situation models and determining at least one trajectory indicating at least one possible behavior of the traffic participant, estimating at least one future position of the traffic participant based on the at least one trajectory, and outputting a signal representing the estimate future position.
    Type: Grant
    Filed: June 18, 2012
    Date of Patent: December 2, 2014
    Assignee: Honda Research Institute Europe GmbH
    Inventors: Jens Schmüdderich, Sven Rebhan
  • Patent number: 8825306
    Abstract: The invention proposes a system that uses a novel method to analyze the surface being about to be traversed by a vehicle. The system can be used to enhance vehicle safety and control. The system makes use of AER cameras such as the Silicon Retina. The Silicon Retina is used monitor the surface to be traversed, and a processing unit analyzes the surface based on the signal provided by the Silicon Retina. The proposed surface analysis method carried out by the system surpasses state-of-art analysis methods.
    Type: Grant
    Filed: September 7, 2012
    Date of Patent: September 2, 2014
    Assignee: Honda Research Institute Europe GmbH
    Inventor: Andrew Alexander Dankers
  • 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: 20140214370
    Abstract: In one aspect, a computer-assisted method for the optimization of the design of physical bodies, such as land, air and see vehicles and robots and/or parts thereof, is provided comprising the steps of: representing the design to be optimized as a mesh, generating update signals to optimize the mesh representation, applying an optimization algorithm until a stop criterion has been reached, and outputting a signal representing the optimized design.
    Type: Application
    Filed: January 23, 2014
    Publication date: July 31, 2014
    Applicant: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Markus OLHOFER, Nikola AULIG
  • 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
  • Publication number: 20140172226
    Abstract: The invention provides a driver assistance method, comprising the steps of: sensing a vehicle's state and the environment, on the basis of sensing output signals, determining whether a critical state of the vehicle is to be expected in the future, if yes, determining a total amount and a time duration of an activation of at least one vehicle actuator required in order to avoid occurrence of the critical state, the activation being of a nature which can be sensed by the driver of the vehicle, and partially performing, by a control module, the activation, i.e. for a portion of the amount and/or a portion of the time duration of the determined total amount and time duration.
    Type: Application
    Filed: December 6, 2013
    Publication date: June 19, 2014
    Applicant: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventor: Christian GOERICK
  • Patent number: 8731719
    Abstract: The invention relates to a method for processing video signals from a video sensor, in order to extract 3d shape information about objects represented in the video signals, the method comprising the following steps: providing a memory in which objects are stored in a 3d shape space, the shape space being an abstract feature space encoding the objects' 3d shape properties, and mapping a 2d video signal representation of an object in the shape space, the coordinates of the object in the shape space indicating the object's 3d shape.
    Type: Grant
    Filed: May 5, 2010
    Date of Patent: May 20, 2014
    Assignee: Honda Research Institute Europe GmbH
    Inventors: Mathias Franzius, Heiko Wersing
  • Patent number: 8725294
    Abstract: A method for controlling behavior of an intelligent mechanical system having more than one degree of freedom. The method includes (a) providing a target to a selector unit that requires operation of actuators of the mechanical system; (b) generating by a selector unit more than one behavior commands adapted to reach the target; (c) simulating movements of the mechanical system for each behavior command by a computing unit of the mechanical system; (d) assessing fitness values for each simulated movements based on at least one objective; and (e) sending the behavior commands with a highest fitness value to the actuators of the mechanical system.
    Type: Grant
    Filed: June 20, 2007
    Date of Patent: May 13, 2014
    Assignee: Honda Research Institute Europe GmbH
    Inventor: Michael Gienger
  • 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
  • Publication number: 20140049644
    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: Application
    Filed: August 15, 2013
    Publication date: February 20, 2014
    Applicant: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Joerg DEIGMOELLER, Julian EGGERT, Nils EINECKE
  • Publication number: 20140032033
    Abstract: The present invention proposes a profound user-mower interaction, which enables the user to teach a robotic lawn mower for improving its visual obstacle detection. The main idea of the invention is that the user can show some typical obstacles from his garden to the mower. This will increases the performance of the visual obstacle detection. In the simplest scenario the user just places the mower in front of an obstacle, and activates the learning mechanism of the classification means (module) of the mower. The increasing use of smart devices such as smart phones or tablets enables also more elaborated learning. For example, the mower can send the input image to the smart device, and the user can provide a detailed annotation of the image. This will drastically improve the learning, because the mower is provided with ground truth information.
    Type: Application
    Filed: July 26, 2013
    Publication date: January 30, 2014
    Applicant: HONDA RESEARCH INSTITUTE EUROPE GMBH
    Inventors: Nils EINECKE, Mathias FRANZIUS, Heiko WERSING