Invention Application
- Patent Title: MACHINE-LEARNED EXPLAINABLE OBJECT DETECTION SYSTEM AND METHOD
-
Application No.: US17590264Application Date: 2022-02-01
-
Publication No.: US20220245949A1Publication Date: 2022-08-04
- Inventor: Veronica MARIN , Evgeny NUGER , Jaewook JUNG , William WANG , David BEACH
- Applicant: Thales Canada Inc
- Applicant Address: CA Toronto
- Assignee: Thales Canada Inc
- Current Assignee: Thales Canada Inc
- Current Assignee Address: CA Toronto
- Main IPC: G06V20/58
- 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.
Public/Granted literature
- US12223738B2 Machine-learned explainable object detection system and method Public/Granted day:2025-02-11
Information query