The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 07, 2023

Filed:

Apr. 15, 2021
Applicant:

Beijing Idriverplus Information Technology Co., Ltd., Beijing, CN;

Inventors:

Guoqi Peng, Beijing, CN;

You Huang, Beijing, CN;

Guolong Zhang, Beijing, CN;

Fang Zhang, Beijing, CN;

Xiaofei Li, Beijing, CN;

Dezhao Zhang, Beijing, CN;

Xiao Wang, Beijing, CN;

Shuhao Huo, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 19/47 (2010.01); G01S 19/39 (2010.01); G01S 19/41 (2010.01);
U.S. Cl.
CPC ...
G01S 19/396 (2019.08); G01S 19/47 (2013.01); G01S 19/41 (2013.01);
Abstract

Disclosed is a method for adaptive identification of erroneous GPS observed value, including: acquiring positioning information of a vehicle from a GPS sensor, and extracting first observed value data; acquiring posture information and speed information of the vehicle to acquire dead reckoning trajectory data of the vehicle; eliminating the erroneous GPS observed values based on respective data on data status value, heading significant bit, the number of satellites used and horizontal dilution of precision in the first observed value data to obtain second observed value data; constructing pose graph data based on the second observed value data and acquiring processing result information; analyzing and optimizing the processing result information to eliminate the erroneous GPS observed values of which the cost function exceeds a preset cost function threshold to obtain third observed value data; and constructing a high-precision map based on the third observed value data and three-dimensional scene map data.


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