Abstract:
An embodiment method of detecting a curb includes selecting road points from a point cloud acquired by a LiDAR sensor and detecting multiple consecutive points, having a constant first slope in a first plane viewed from above and a second slope having a constant sign in a second plane viewed from a side, as curb candidate points from among the road points, the curb candidate points being candidates for curb points.
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 of tracking an object using a LiDAR sensor includes determining, by an information determiner, based on the spacing distance between a target point and a valid neighboring point disposed adjacent to the target point in the same layer as the target point, among first points acquired by the LiDAR sensor, noise information indicating whether the target point is a noise point; and clustering, by a clustering unit, the first points using the noise information.
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.
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 LIDAR noise removal apparatus and a LIDAR noise removal method thereof are provided. The apparatus includes a LIDAR detection information processor that processes LIDAR detection information received from a LIDAR of a vehicle. A sun position acquirer acquires an azimuth angle and elevation angle of the sun relative to a traveling direction of the vehicle. An ROI selector selects an ROI corresponding to the sun from a front image of the vehicle based on the azimuth angle and elevation angle and compares a brightness of the selected ROI with a threshold value. A noise region selector selects a noise region corresponding to the ROI from the LIDAR detection information based on the azimuth angle and elevation angle when the brightness of the ROI exceeds the threshold value, and a noise remover removes noise points in the selected noise region.
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.