公开(公告)号：US20190156569A1

公开(公告)日：2019-05-23

申请号：US16193603

申请日：2018-11-16

Applicant: THALES CANADA, INC.

Inventor： Jaewook JUNG ,  Gunho SOHN ,  Michael RICKARD ,  Alon GREEN ,  Walter KINIO

IPC: G06T17/05 ,  G06T7/277

Abstract: A method includes detecting an initialization position of a processing zone within a graphical user interface, the processing zone having boundaries and a predefined direction extending away from the initialization position, the graphical user interface comprising displayed point cloud data, the displayed point cloud data being based on a scanning of a three dimensional space. The method also includes applying a Kalman filter to the track points to identify a trajectory of a guideway and generating a model of the guideway based on the track points and the trajectory. The method further includes detecting one or more of a turnout region or an object associated with the guideway. The method additionally includes generating a map comprising the model of the guideway and one or more of the turnout region or the object, and at least one label identifying the turnout region or the object included in the map.

公开(公告)号：US20220245949A1

公开(公告)日：2022-08-04

申请号：US17590264

申请日：2022-02-01

Applicant: Thales Canada Inc

Inventor： Veronica MARIN ,  Evgeny NUGER ,  Jaewook JUNG ,  William WANG ,  David BEACH

IPC: G06V20/58 ,  G06V10/25 ,  G06V10/82

Abstract: A method of detecting a way-side object includes receiving data frames from sensors mounted on a vehicle. Position data corresponding to the position of the vehicle is received. Object-of-interest data is retrieved from a database. The sensor data frames and the object-of-interest data are processed to determine a region-of-interest in the sensor data frame. A portion of the sensor data frames corresponding to the region of interest is processed using machine-learned object detection to identify a first object-of-interest. The portion of the sensor data frames corresponding to the region of interest is processed using computer vision methods to detect features of the expected object-of-interest and identifying the detected object-of-interest as explained when the features of the expected object-of-interest are detected. Explained object-of-interest data corresponding to the explained detected object-of-interest is output to a navigation system of the vehicle.