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: 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: 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: An object-tracking method using a LiDAR sensor may include forming a first inclination using GPS altitude points of a vehicle driving region, detecting a driving lane using LiDAR points of a vehicle and determining a second inclination using the detected driving lane, rotating the GPS altitude points using the first inclination and the second inclination, obtaining a third inclination using a target point and a neighboring point, among the LiDAR points, the neighboring point belonging to a previous layer adjacent to a current layer to which the target point belongs, obtaining a fourth inclination using points that match the LiDAR points, among the rotated GPS altitude points, and determining the target point to be a ground point when the absolute value of the difference between the third inclination and the fourth inclination is less than a threshold inclination.

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: 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 for providing sound tracking information includes detecting a sound occurred adjacent to a subject vehicle to generate a sound tracking result based at least on a sound data regarding detected sound; determining an angle of point having the maximum probability among at least one of peak points in the sound tracking result as a first vehicle angle; determining whether an angle of candidate point is a second vehicle angle, wherein the candidate point has the maximum probability among peak points included in a detection range except for the first vehicle angle; and generating at least one detection signal corresponding to the first and the second vehicle angles, when the angle of candidate point is the second vehicle angle, wherein the sound tracking result includes a probability of whether there is at least one another vehicle at each of angles in each of frames continued 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 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 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: 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 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 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 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 occurred adjacent to a subject vehicle to generate a sound tracking result based at least on a sound data regarding detected sound; determining an angle of point having the maximum probability among at least one of peak points in the sound tracking result as a first vehicle angle; determining whether an angle of candidate point is a second vehicle angle, wherein the candidate point has the maximum probability among peak points included in a detection range except for the first vehicle angle; and generating at least one detection signal corresponding to the first and the second vehicle angles, when the angle of candidate point is the second vehicle angle, wherein the sound tracking result includes a probability of whether there is at least one another vehicle at each of angles in each 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 system for identifying road surface conditions includes a road surface measurement sensor attached to a vehicle and configured to generate a measurement signal for a road surface condition, and a controller. The controller is configured to digitalize the measurement signal received from the road surface measurement sensor, calculate a curvature pattern for the road surface condition based on the digitalized measurement signal, and compare the calculated curvature pattern with a pre-stored curvature pattern to identify the road surface condition.