Abstract:
A motor for a vehicle includes a rotor and a pair of end plates having a first end plate and a second end plate. Each of the pair of end plates is respectively disposed on opposite sides of the rotor. At least one path extends from the first end plate to the second end plate and penetrating through the second end plate through the rotor from the first end plate.
Abstract:
An apparatus for clustering a point cloud can include: a three-dimensional (3D) light detection and ranging (LiDAR) sensor configured to generate a point cloud around a vehicle and a controller configured to project the point cloud generated by the 3D LiDAR sensor onto a circular grid map to be converted into two-dimensional (2D) points, the circular grid map including a plurality of cells, and to cluster the 2D points on the circular grid map.
Abstract:
A method of providing visualization information of a rear vehicle includes calculating a location of a sound source located behind a host vehicle, using a sound signal received by each of a plurality of microphones, matching information about the location with an object displayed on image information generated by a rear camera, and displaying a first icon indicating the object on the image information, where the first icon includes information about a probability that the object is present in an area indicated by the location information.
Abstract:
A method for providing sound detection information producing a result of sound detection based on sound data generated by detecting sound generated around a host vehicle, may include determining an opposite lane vehicle detection index based on the result of sound detection, the opposite lane vehicle detection index forming a basis of determination of presence or absence of an opposite lane vehicle, and controlling a notification of a neighboring vehicle travelling around the host vehicle or controlling the host vehicle according to the opposite lane vehicle detection index, wherein the result of sound detection is information about the probability of presence of the neighboring vehicle for respective angles in frames consecutive over time.
Abstract:
A method for providing sound detection information includes steps of: sensing sound around a host vehicle to generate sound data; generating a result of sound detection based on the sound data; calculating a rate of change based on the result of sound detection; generating a result of tunnel detection by comparing the rate of change with a threshold; and controlling at least one peripheral apparatus in the host vehicle according to the result of tunnel detection.
Abstract:
A method for providing sound tracking information includes detecting a sound occurred adjacent to a subject vehicle and generating a sound tracking result based at least on sound data regarding detected sound, determining a detect on category as one of a non-vehicle detection, an error detection or a vehicle detection, based at least on the sound tracking result, and determining an error detection index adjusted based at least on the detection category as well as whether a notification based at least on the detection category is generated. Herein, the sound tracking result includes a probability of whether there is at least one other vehicle at each of a plurality of angles in each of a plurality of frames continued according to time.
Abstract:
A method for providing sound tracking information includes detecting a sound emitted adjacent to a subject vehicle and generating a sound tracking result based at least on sound data relating to the detected sound. A relative velocity of another vehicle operating near the subject vehicle is determined based on an angle of the other vehicle determined from the sound tracking result. A notification regarding the other vehicle is determined based on the relative velocity. The sound tracking result includes, for each of a plurality of angles relative to the subject vehicle in each of a plurality of frames of sound data according to time, an estimate of a probability of the presence of at least one other vehicle at each respective angle in each respective frame.
Abstract:
An apparatus and a method for recognizing a horn using a sound signal processor are provided. The apparatus includes a data storage unit configured to acquire and store surrounding sound data and a sound signal processor configured to sample a sound signal within the sound data, perform signal conversion, and define and extract the frequency signals. In addition, a horn recognizer is configured to combine the extracted frequency signals, accumulate the frequency signals, and digitize a change rate of the accumulated frequency signals. Further, an output data determiner is configured to determine whether the digitized change rate of the frequency signals is equal to or greater than a threshold value to determine whether and when the horn is generated.
Abstract:
A method and a device for recognizing a pedestrian and a vehicle supporting the same are provided. The method includes collecting, by a controller, a far-infrared image using a far-infrared imaging device and detecting a pedestrian candidate group from the far-infrared image. In addition, the method includes extracting, by the controller, pedestrian features based on previously normalized pedestrian database (DB) learning and comparing the pedestrian features with the pedestrian DB learning results to determine similarity. The controller is configured to perform pedestrian recognition based on the comparison result.
Abstract:
Disclosed are a method of providing sound tracking information, a sound tracking apparatus for vehicles and a vehicle having the sound tracking apparatus. The method of providing sound tracking information includes generating sound tracking results based on sound data generated by sensing sound generated around a vehicle, calculating 3D coordinates of a target sound source according to angle values of the target sound source recognized from the sound tracking results, and generating a notification of the target sound source based on the 3D coordinates, and the sound tracking results include information on probabilities that an object corresponding to the target sound source is present at respective angles in each of continuous frames according to time.