Invention Grant
- Patent Title: Map feature extraction system for computer map visualizations
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Application No.: US16237648Application Date: 2018-12-31
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Publication No.: US10775174B2Publication Date: 2020-09-15
- Inventor: Daniel Hofmann , Bhargav Kowshik KR
- Applicant: Mapbox, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Mapbox, Inc.
- Current Assignee: Mapbox, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Fenwick & West LLP
- Main IPC: G01C21/00
- IPC: G01C21/00 ; G06K9/46 ; G06K9/62 ; G06K9/00 ; G06N3/08

Abstract:
A feature extraction system extracts map features from an aerial image. The feature extraction system receives an aerial image having pixels and predicts, for each pixel, a probability that the pixel corresponds to a map feature based on a machine learning model. The machine learning model is trained to determine a probability that a pixel corresponds to the map feature based on a training dataset comprising pairs of aerial images and corresponding mask images that describe known instances of the map feature. The feature extraction system identifies a subset of pixels of the plurality of pixels. Each pixel in the subset has a predicted probability that is greater than or equal to a threshold probability that a pixel corresponds to the map feature. The feature extraction system further determines a bounded geometry enclosing the identified subset of pixels, the bounding geometry encompassing an instance of the map feature.
Public/Granted literature
- US20200072610A1 MAP FEATURE EXTRACTION SYSTEM FOR COMPUTER MAP VISUALIZATIONS Public/Granted day:2020-03-05
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