- Patent Title: Map data validation using knowledge graphs and randomness measures
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Application No.: US16547276Application Date: 2019-08-21
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Publication No.: US11859985B2Publication Date: 2024-01-02
- Inventor: Barak Michener , Thomas Michael Dedeco , Albert Yuen
- Applicant: Lyft, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Lyft, Inc.
- Current Assignee: Lyft, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Keller Preece PLLC
- Main IPC: G01C21/32
- IPC: G01C21/32 ; G06F16/29 ; G06N5/04 ; G06N5/02 ; G01C21/34

Abstract:
Systems and methods are disclosed for improved mapping data validation using randomness measures. Methods may include receiving a map dataset that includes a plurality of map features. A knowledge graph may be generated based on the map dataset that may include nodes representing or corresponding to the map features. Nodes corresponding to map features of a particular feature type may be identified and edges connected to the identified nodes may be processed to identify a plurality of paths. A randomness measure for the particular feature type may be determined based on the plurality of paths. The randomness measure may indicate a predictability of occurrences of map features of the particular feature type in the map dataset. The randomness measure may then be compared to a second randomness measure determined based on another map dataset.
Public/Granted literature
- US20210055112A1 Map Data Validation Using Knowledge Graphs and Randomness Measures Public/Granted day:2021-02-25
Information query
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