Map Feature Extraction Using Overhead View Images

Patent №

US 11,244,500

Granted

2022-02-08

Filed 2019

Owner

LYFT, INC.

Lab

AI components

5

ml · nlp · vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16731933

Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to determine one or more images of a generated overhead view of a geographical area. The generated overhead view is generated from aggregated pixel values determined from correlated pixel values in images of the geographical area. The disclosed approaches identify semantic map features as being present in the images of the overhead perspective of the geographic area. The disclosed approaches extract the semantic map features of the geographical area from the images of the substantially overhead perspective of the geographical area. The disclosed approaches translate the extracted semantic map features to a semantic map layer of a geometric map associated with the geographical area.

Machine learningNatural languageVisionKnowledge representationPlanningG01C 21/3804G01S 17/89G01S 17/931G06F 16/29G06F 16/54G06T 17/05G06V 20/56

AI classification

Vision1.00
Natural language1.00
Knowledge representation0.97
Planning0.96
Machine learning0.94
AI hardware0.26
Evolutionary computation0.14
Speech0.00

Ownership

LYFT, INC.

assignment · 517100535

From the same owner

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