| HONDA RESEARCH INSTITUTE EUROPE GMBH Patent applications |
| Patent application number | Title | Published |
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| 20110279652 | TWO-STAGE CORRELATION METHOD FOR CORRESPONDENCE SEARCH - 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. | 11-17-2011 |
| 20110243390 | ESTIMATING OBJECTS PROPER MOTION USING OPTICAL FLOW, KINEMATICS AND DEPTH INFORMATION - The invention relates to a method for detecting the proper motion of an real-world object, comprising the steps of acquiring, by an image capturing device (ICD), a first image (I | 10-06-2011 |
| 20110129119 | MULTI-OBJECT TRACKING WITH A KNOWLEDGE-BASED, AUTONOMOUS ADAPTATION OF THE TRACKING MODELING LEVEL - The invention proposes a method for object and object configuration tracking based on sensory input data, the method comprising the steps of: | 06-02-2011 |
| 20110095879 | BEHAVIOR-BASED LEARNING OF VISUAL CHARACTERISTICS FROM REAL-WORLD TRAFFIC SCENES FOR DRIVER ASSISTANCE SYSTEMS - A computer-implemented method for setting-up and operating a driver assistance system, | 04-28-2011 |
| 20110082671 | DESIGNING REAL-WORLD OBJECTS USING THE INTERACTION BETWEEN MULTIPLE DESIGN VARIABLES AND SYSTEM PROPERTIES - A method for the computerized design of real-world object uses knowledge of already existing designs and their physical performance numbers. During the design process, a plurality of design variables are adapted, and the result of the design has improved physical performance numbers when converted into the real-world Object. The design process is decomposed in parallel streams of optimization modules, with each optimization module individually optimizing a group of interrelated design variables. The functional interrelation between design variables is evaluated using an interaction information representing the functional dependency between the design variables and the physical performance numbers. | 04-07-2011 |
| 20110040542 | METHOD AND SYSTEM FOR THE INTEGRATION OF FUNCTIONAL CAE DATA IN A CAD BASED STYLING PROCESS FOR INDUSTRIAL DESIGN, ESP. CARS, MOTORBIKES OR AERONAUTIC VEHICLES - Computer-assisted systems and methods for integrating aesthetic and functional design processes for real-world objects can include a computerized module for defining an aesthetic representation of a real-world object, and a computing module supplied with approximation model data of a CAE simulation module to calculate functional quality value(s) using a parametric description of the aesthetic representation as input. An interface can issue a physical signal to a user, with the physical signal communicating the quality value(s) to the user. A computerized module can change the parametric description of the aesthetic representation of the object in the aesthetic design process taking the obtained functional quality value into account. | 02-17-2011 |
| 20100315505 | OBJECT MOTION DETECTION SYSTEM BASED ON COMBINING 3D WARPING TECHNIQUES AND A PROPER OBJECT MOTION DETECTION - The invention proposes a method for detecting dynamic objects in the scene in a driver assistance system of a vehicle, comprising the steps of:
| 12-16-2010 |
| 20100312731 | NEURAL ASSOCIATIVE MEMORIES BASED ON OPTIMAL BAYESIAN LEARNING - This invention is in the field of machine learning and neural associative memory. In particular the invention discloses a neural associative memory structure for storing and maintaining associations between memory address patterns and memory content patterns using a neural network, as well as methods for storing and retrieving such associations. Bayesian learning is applied to achieve non-linear learning. | 12-09-2010 |
| 20100306145 | METHOD AND DEVICE FOR REALIZING AN ASSOCIATIVE MEMORY BASED ON INHIBITORY NEURAL NETWORKS - A method for forming an associative computer memory comprises the step of forming an inhibitory memory matrix A′=−(Ap−A). According to the Wilshaw model constructed from a given set of address patterns and content patterns' and random matrix structure. | 12-02-2010 |
| 20100305755 | DRIVER ASSISTANCE SYSTEM OR ROBOT WITH DYNAMIC ATTENTION MODULE - The invention relates to a vision-based attention system, comprising:
| 12-02-2010 |
| 20100292835 | AUTONOMOUS ROBOTS WITH PLANNING IN UNPREDICTABLE, DYNAMIC AND COMPLEX ENVIRONMENTS - A controller for the motion control of a robot, comprises:
| 11-18-2010 |
| 20100286827 | ROBOT WITH VISION-BASED 3D SHAPE RECOGNITION - 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:
| 11-11-2010 |
| 20100249999 | LEARNING AND USE OF SCHEMATA IN ROBOTIC DEVICES - A robotic controller using schemata, the schemata being a set of parameterized sequences of motor commands in order to make a robot to achieve a set goal, the parameters of the sequences being gained from the state variables of the robotic controller, a robotic controller comprising an interface for supplying sensory input to the robotic controller. A schemata state memory ( | 09-30-2010 |
| 20100223216 | ARTIFICIAL VISION SYSTEM AND METHOD FOR KNOWLEDGE-BASED SELECTIVE VISUAL ANALYSIS - Generally the background of the present invention is the field of artificial vision systems, i.e. systems having a visual sensing means (e.g. a video camera) and a following processing stage implemented using a computing unit. The processing stage outputs a representation of the visually analysed scene, which output can then be fed to control different actors, such as e.g. parts of a vehicle (automobile, plane, . . . ) or a robot, preferably an autonomous robot such as e.g. a humanoid robot. | 09-02-2010 |
| 20100222924 | ROBOT WITH AUTOMATIC SELECTION OF TASK-SPECIFIC REPRESENTATIONS FOR IMITATION LEARNING - The invention proposes a method for imitation-learning of movements of a robot, wherein the robot performs the following steps:
| 09-02-2010 |
| 20100217435 | AUDIO SIGNAL PROCESSING SYSTEM AND AUTONOMOUS ROBOT HAVING SUCH SYSTEM - An audio signal processing system includes one or more sensors for sensing audio signals. A module for computing audio signal segments of coherent signal elements, and at least one compressing module for computing a compressed representation of audio features of each audio signal segment are also included. The system also has a module for storing audio proto objects, which are data objects comprising the compressed representation and time information of the associated audio signal segment. | 08-26-2010 |
| 20100211537 | ARTIFICIAL COGNITIVE SYSTEM WITH AMARI-TYPE DYNAMICS OF A NEURAL FIELD - Efficiently simulating an Amari dynamics of a neural field (a), the Amari dynamics being specified by the equation (1) where a(x,t) is the state of the neural field (a), represented in a spatial domain (SR) using coordinates x,t, i(x,i) is a function stating the input to the neural field at time t, f[.] is a bounded monotonic transfer function having values between 0 and 1, F(x) is an interaction kernel, s specifies the time scale on which the neural field (a) changes and h is a constant specifying the global excitation or inhibition of the neural field (a). A method for simulating an Amari dynamics of a neural field (a), comprising the step of simulating an application of the transfer function (f) to the neural field (a). According to the invention, the step of simulating an application of the transfer function (f) comprises smoothing the neural field (a) by applying a smoothing operator (S). | 08-19-2010 |
| 20100183192 | SYSTEM AND METHOD FOR OBJECT MOTION DETECTION BASED ON MULTIPLE 3D WARPING AND VEHICLE EQUIPPED WITH SUCH SYSTEM - The present invention relates to a technique for detecting dynamic (i.e., moving) objects using sensor signals with 3D information and can be deployed e.g. in driver assistance systems. | 07-22-2010 |
| 20090213219 | VISUALLY TRACKING AN OBJECT IN REAL WORLD USING 2D APPEARANCE AND MULTICUE DEPTH ESTIMATIONS - 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. | 08-27-2009 |
| 20090129675 | Method And Device For Continuous Figure-Ground Segregation In Images From Dynamic Visual Scenes - A method for segregating a figure region from a background region in image sequences from dynamic visual scenes, comprising the steps of: (a) acquiring an image; (b) determining local motion estimations and confidences for each position of the image; (c) modifying a level-set function by moving and distorting the level-set function with the local motion estimations and smearing it based on the local motion confidences, to generate a predicted level set function that is geometrically in correspondence with the image and diffused at positions where the confidence of the motion estimation is low; (d) obtaining input features of the image by using a series of cues; (e) calculating a mask segregating the figure region from the background region of the image using the modified level-set function and the obtained input features; (f) extracting the figure region from the image; and repeating steps (a)-(f) until a termination criterion is satisfied. | 05-21-2009 |
| 20090018696 | Method and Device for Controlling a Robot - A robot controller including a multitude of simultaneously functioning robot controller units. Each robot controller unit is adapted to receive an input signal, receive top-down information, execute an internal process or dynamics, store at least one representation, send top-down information, issue motor commands wherein each motor command has a priority. The robot controller selects one or several motor commands issued by one or several units based on their priority. Each robot controller unit may read representations stored in other robot controller units. | 01-15-2009 |
| 20090012752 | Aerodynamic Design Optimization Using Information Extracted From Analysis of Unstructured Surface Meshes - A computer-implemented method of analyzing data representing the optimization of real-world designs of physical entities according to at least one criterion. Different modifications of the design are generated by a cyclic optimization algorithm. The design data is represented by unstructured triangular surface meshes. A displacement measure representing local differences between two design modifications of the different modifications is calculated. Performance difference between the two design modifications is calculated. The performance difference is represented by at least one criterion. Sensitivity information representing correlation between the displacement measure and the performance differences is outputted. | 01-08-2009 |
| 20080312771 | Robots with Occlusion Avoidance Functionality - A method for controlling a robot having at least one visual sensor. A target for a motion of the robot is defined. A motion control signal adapted for the robot reaching the target is calculated. A collision avoidance control signal based on the closest points of segments of the robot and a virtual object between the visual sensing means and the target is calculated. The motion control signal and the collision avoidance control signal are weighted and combined. The weight of the motion control signal is higher when a calculated collision risk is lower. The motion of the robot is controlled according to the combined signal so that no segment of the robot enters the space defined by the virtual object. | 12-18-2008 |
| 20080243459 | Optimization Using Indirect Design Coding - A method for optimizing a material structure. The method comprises the steps of encoding an initial design of the material structure to be optimized as a parameter set, subjecting the initial design to an optimization according to at least one preset criterion, using an evolutionary algorithm, terminating the optimization when a termination condition is met, and outputting data representing the optimized parameter set. The design of the material structure is encoded indirectly as a virtual DNA. | 10-02-2008 |
| 20080243307 | Apparatus and Method for Generating and Controlling the Motion of a Robot - A method for controlling a system or robot having at least one effector. An initial sequence of control points is computed. The system or the robot is evaluated by a global cost function that uses internal simulation based on the control points. The sequence of control points are updated based on the evaluation. The evaluation of the system or the robot and the updating of the sequence of control points are repeated until a given termination criterion is met. | 10-02-2008 |
| 20080234959 | Pitch Extraction with Inhibition of Harmonics and Sub-harmonics of the Fundamental Frequency - The fundamental frequency of a harmonic signal is estimated by forming a fundamental frequency hypothesis (f0′). A comb filter is provided based on the fundamental frequency hypothesis. The harmonic signal is filtered using the comb filter. The fundamental frequency hypothesis is tested for each tooth in the comb filter. A signal indicating an estimated fundamental frequency of the provided harmonic signal may be outputted based on the testing. | 09-25-2008 |
| 20080234864 | Robots with Collision Avoidance Functionality - A robot is provided with a motion control unit that avoids collision between segments of the robot or between segments of the robot and other objects. The motion control unit of the robot comprises a distance computing module, a whole body control module, a collision avoidance module, and a blending control unit. The distance computing module calculates two closest points of different segments of the robot connected to each other via at least one joint or a segment of the robot and another object. The collision avoidance module is provided with the information about the two closest points. The blending control unit combines the weighted output control signals of the whole body control module and the collision avoidance control module. The weight of the whole body control output signal is higher when the risk of collision is lower. The weight of the collision avoidance control output signal is higher when the risk of collision is higher. The collision avoidance module is designed to control a collision avoidance action only in the direction parallel to a line connecting between the two closest points. | 09-25-2008 |
