Patent · US Active

Using light detection and ranging (LIDAR) to train camera and imaging radar deep learning networks

US11393097B2 · kind B2 · utility

11Cited by

2References

26Claims

0Family size

Assignee

QUALCOMM Incorporated · US

Inventors

Christopher Brunner · San Diego, US
Radhika Dilip GOWAIKAR · San Diego, US
Fu-Chun Yeh · San Diego, US
Michael Joshua Shomin · Philadelphia, US
John Anthony Dougherty · Philadelphia, US
Jayakrishnan Unnikrishnan · Bellevue, US

Key dates

Filing date	Jan 6, 2020
Grant date	Jul 19, 2022
Priority date	—
Expiry date	Jan 12, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06T2219/004
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed are techniques for annotating image frames using information from a light detection and ranging (LiDAR) sensor. An exemplary method includes receiving, from the LiDAR sensor, at least one LiDAR frame, receiving, from a camera sensor, at least one image frame, removing LiDAR points that represent a ground surface of the environment, identifying LiDAR points of interest in the at least one LiDAR frame, segmenting the LiDAR points of interest to identify at least one object of interest in the at least one LiDAR frame, and annotating the at least one image frame with a three-dimensional oriented bounding box of the at least one object of interest detected in the at least one image frame by projecting the three-dimensional oriented bounding boxes from the at least one LiDAR frame to the at least one image frame using cross-calibration transforms between the LiDAR sensor and the camera.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.