Mobiltech

Jiseong Kim

Jaeseung Kim

Jae Seung Kim

A trajectory correction method may include the steps of: correcting, by a map generation device, an error generated due to a change in position targeting 3D point cloud data collected in real time through a LiDAR, of which a position changes in real time; estimating, by the map generation device, an expected trajectory (odometry) related to the change in position on the basis of the corrected 3D point cloud data; applying, by the map generation device, curve fitting to the estimated expected trajectory; and mapping, by the map generation device, the expected trajectory before the curve fitting targeting the expected trajectory to which the curve fitting is applied.

Method for trajectory correction for 3D map creation, and computer program recorded on record-medium for executing method therefor

A method of collecting road sign information using a mobile mapping system, which can collect information on the markings on the road in real-time and map the information to a high definition map using the mobile mapping system including a remote sensing device and a navigation device is disclosed. Particularly, the system may collect correct road marking information in real-time by extracting objects and attributes from successive images on the basis of deep learning and map the road marking information to a high definition map, and remarkably improve accuracy of recognizing the road marking information. Accordingly, reliability and competitiveness may be enhanced in the autonomous driving field, the road recognition field, the high definition road map field for autonomous driving, and the fields similar or related thereto.

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Seoul, South Korea

Jiseong Kim