公开(公告)号：US11774573B2

公开(公告)日：2023-10-03

申请号：US17066946

申请日：2020-10-09

Applicant: THALES CANADA INC.

Inventor： Adam Le ,  Tyler Daoust ,  David Beach ,  Alon Green

IPC: G01S13/60 ,  G01S13/86 ,  B61L25/02

CPC classification number: G01S13/60 ,  B61L25/021 ,  G01S13/86

Abstract: A system for determining a stationary state of a rail vehicle on a track includes a first radar mounted at an end of the rail vehicle and a second radar mounted at another end of the rail vehicle. A speed sensor is mounted on the rail vehicle. A series of fixed reflective track features are found along the track. A processing unit, communicably connected with the speed sensor, the first radar and the second radar receives data from the first radar and the second radar corresponding to the distance to the fixed reflective track features and determines the stationary state or low-speed condition of the rail vehicle and checks the state or condition by comparing it with an output of the speed sensor.

公开(公告)号：US11754702B2

公开(公告)日：2023-09-12

申请号：US17025467

申请日：2020-09-18

Applicant: THALES CANADA INC

Inventor： David Beach ,  Philip Christian ,  Alon Green

IPC: G01S13/88 ,  B61L25/02 ,  G01S13/58

CPC classification number: G01S13/885 ,  B61L25/021 ,  B61L25/025 ,  G01S13/58

Abstract: A vehicle locator includes an on-board computer and a ground penetrating radar mounted on the vehicle that is communicably connected to the on-board computer. A reflective landmark is located at a known location along the path of the vehicle. The reflective landmark includes reflective elements arranged to encode data. The ground penetrating radar transmits signal energy and detects reflected signal energy reflected by the reflective landmark and communicates encoded data representative of the reflected signal energy to the on-board computer. The on-board computer decodes the encoded data and thereby determines the location of the vehicle.

公开(公告)号：US12080043B2

公开(公告)日：2024-09-03

申请号：US17184159

申请日：2021-02-24

Applicant: THALES CANADA INC.

Inventor： Freddy Lecue ,  David Beach ,  Tanguy Pommellet

IPC: G06V10/44 ,  G06F16/901 ,  G06N3/042 ,  G06N3/08 ,  G06V10/82 ,  G06V30/19 ,  G06V30/262 ,  G06V20/58

CPC classification number: G06V10/454 ,  G06F16/9024 ,  G06N3/042 ,  G06N3/08 ,  G06V10/82 ,  G06V30/19173 ,  G06V30/274 ,  G06V20/58

Abstract: A method of semantic object detection in an image dataset includes extracting semantic links relevant to the image dataset. Objects are detected in the image dataset and confidence scores are assigned to the detected objects. The semantic object detection compares the detected objects with the semantic links and augments the confidence scores based on the semantic links between the detected objects.