Hyundai Motor Company

Kia Motors Corporation

Kia Corporation

Byoung Kwang Kim

Ju Heon Baeg

Mi Rim Noh

Jin Hak Kim

Chang Young Jung

Jae Hwan Jang

Su Rim Kwon

A method of analyzing the shape of an object using a LiDAR sensor includes determining the first to Mshapes of first to Mlayers (where M is a positive integer of 2 or more) related to a target object using clustered LiDAR points and analyzing the determined first to Mshapes according to a predetermined priority to determine the shape of the target object.

Method of analyzing a shape of an object and an apparatus for tracking an object using a LiDAR sensor

An object orientation determination method includes generating pixel data on each of a plurality of unit pixels included in a region of interest of a point cloud acquired from an object, generating a plurality of candidate boxes using the generated pixel data, and determining, as a heading angle of an oriented bounding box, an inclination of a candidate box having a smallest cost among costs calculated on the plurality of candidate boxes. A cost of each of the plurality of candidate boxes is calculated based on positions of respective sides of a corresponding one of the plurality of candidate boxes and the pixel data.

Method of determining an orientation of an object and a method and apparatus for tracking an object

A system comprises a LiDAR sensor and a processor coupled to the LiDAR. The processor is configured to derive a regression line, and generate the outline of the static object by connecting the classified valid points except for the classified removal points. Wherein the processor is further configured to calculate an angle defined by one segment and another segment adjacent to the segment, select an i-lth point, which is a start point of a segment including an ith point, as a start point, when an angle between segments at both sides with respect to the ith point is greater than the reference angle, and select a jth point as an end point, when an angle between segments at both sides with respect to the jth point is less than or equal to the reference angle and when there is the start point before the jth point.

System for extracting outline of static object and method thereof

A free space detection apparatus for a vehicle is provided to detect a free space based on a lidar sensor and recognize a driving environment. The apparatus includes a point data processor that removes noise of point data acquired from the LIDAR sensor and derives a half line with respect to an obstacle point from which noise has been removed based on coordinates of the obstacle point. A map processor generates a map for space classification, checks whether the obstacle point or the half line with respect to the obstacle point is present in a cell of the map and determines cell states of the map. A free space detector detects a free space based on the cell states of the map.

Free space detection apparatus and free space detection method

An apparatus for recognizing an object based on a lidar sensor and a method thereof can extract a valid contour point of an object from a point cloud generated by the lidar sensor and recognize a shape of the object based on a contour line composed of the extracted valid contour point of the object, such that it is possible to recognize the shape of an object located on a road with high accuracy, thereby improving the driving stability of an autonomous vehicle. The apparatus includes the lidar sensor that generates the point cloud around an autonomous vehicle, and a controller that extracts the valid contour point of the object from the point cloud and recognizes the shape of the object based on the contour line composed of the extracted valid contour point.

Apparatus for recognizing object based on LiDAR sensor and method thereof

A collision avoidance control system and method are provided. The system includes a GPS receiver that obtains location information of a vehicle, a navigation system having map information, and a sensor unit that senses a target vehicle located near a roundabout. The sensor obtains traveling information of the target vehicle and forward view image information of the vehicle. A controller then calculates an estimated collision point based on the map information, the location information of the vehicle and the traveling information of the target vehicle to determine a risk of collision based on an absolute value of a difference between an arrival time of the vehicle to the estimated collision point and an arrival time of the target vehicle to the estimated collision point. The speed of the vehicle is then adjusted in response to the determined risk of collision.

Collision avoidance control system and method

A method of estimating a front obstacle detection distance includes detecting an obstacle from a front image of a vehicle, extracting coordinates of a lower end portion of a detection box of the detected obstacle, calculating a projected line on real world coordinates based on the extracted coordinates of the lower end portion, searching for a point or a line through which the projected line passes on a detailed map, and calculating a distance to the point or the line through which the projected line passes on the detailed map from a position of the vehicle.

Growing community of inventors

Gyeonggi-do, South Korea

Byoung Kwang Kim