Patent · US Active

Method and apparatus for predicting depth completion error-map for high-confidence dense point-cloud

US10929995B2 · kind B2 · utility

0Cited by

0References

17Claims

0Family size

Assignee

GREAT WALL MOTOR COMPANY LIMITED · CN

Inventors

Hamid Hekmatian · San Francisco, US
Samir K. Al-Stouhi · Dearborn, US
Jingfu Jin · Troy, US

Key dates

Filing date	Jun 24, 2019
Grant date	Feb 23, 2021
Priority date	—
Expiry date	Aug 6, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30252
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

Methods and systems may be used for obtaining a high-confidence point-cloud. The method includes obtaining three-dimensional sensor data. The three-dimensional sensor data may be raw data. The method includes projecting the raw three-dimensional sensor data to a two-dimensional image space. The method includes obtaining sparse depth data of the two-dimensional image. The method includes obtaining a predicted depth map. The predicted depth map may be based on the sparse depth data. The method includes obtaining a predicted error-map. The predicted error map may be based on the sparse depth data. The method includes outputting a high-confidence point-cloud. The high-confidence point-cloud may be based on the predicted depth map and the predicted error-map.

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