Map feature extraction system for computer map visualizations

US11454500B2 · kind B2 · utility

Assignee

• Mapbox, Inc. · US

Inventors

• Daniel Hofmann · Paderborn, DE
• Bhargav Kowshik KR · Bengaluru, IN

Key dates

• Filing date: Jul 10, 2020
• Grant date: Sep 27, 2022
• Expiry date: Oct 16, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V20/182
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.