Abstract:
A system and method for filtering LiDAR data is provided. The system includes a LiDAR data collector that is configured to collect the LiDAR data from a LiDAR and store the LiDAR data in a matrix structure. A noise point determiner is configured to determine whether a first filtering condition for determining whether a point within a predetermined reference distance in the LiDAR data is present, a second filtering condition for determining whether a present point adjacent to a left and right by a reference of a reference point in the matrix structure is a first reference value or less, and a third filtering condition for determining whether a present point adjacent to a top and bottom by the reference of the reference point is a second reference value or less are satisfied.
Abstract:
An apparatus and a method are provided for recognizing driving environment for an autonomous vehicle. The apparatus includes a controller configured to receive navigation information from a satellite navigation receiver. The controller is further configured to receive map data from a map storage and image data from an image sensor regarding captured images from around a vehicle and distance information from a distance sensor regarding sensed objects positioned around the vehicle. The controller is also configured to determine a fusion method for information measured by the image sensor and the distance sensor based on a receiving state of the satellite navigation receiver and precision of the map data to recognize the driving environment.
Abstract:
A vehicle positioning apparatus and method are provided that are capable of more accurately measuring the position of a traveling vehicle without interoperating with a DGPS. The method includes calculating a position of the traveling vehicle based on coordinates of the respective GPS satellites shared by a surrounding vehicle and the traveling vehicle. In addition, a positon coordinate is calculated of the surrounding vehicle measured by the reference of the traveling vehicle.
Abstract:
A vehicle for supporting an object processing includes a lidar sensor configured to collect multi-layer data corresponding to sensor information for a lateral surface for each vertical interval. A controller is configured to classify objects by clustering each layer for the multi-layer data, extract contours and shapes of the objects, and then control a convergence of the objects based on a calculated value of a Mahalanobis distance between the clustered objects, and a method for an object processing.
Abstract:
An apparatus for compensating for a beam angle of a multi-layer LiDAR includes: a beam angle calculation unit configured to calculate a distance d calculated by using ground data detected by a ground data detection unit and a beam angle of the multi-layer LiDAR by using a mounting height of the multi-layer LiDAR stored in a storage unit. When the beam angle calculated by a beam angle calculation unit is in a threshold range, a beam angle selection unit selects the calculated beam angle as the beam angle, when a beam angle compensation unit compensates for the initial beam angle by using the beam angle selected by the beam angle selection unit