20230087702. SYSTEMS AND METHODS FOR ENHANCED BASE MAP GENERATION simplified abstract (State Farm Mutual Automobile Insurance Company)

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SYSTEMS AND METHODS FOR ENHANCED BASE MAP GENERATION

Organization Name

State Farm Mutual Automobile Insurance Company

Inventor(s)

Jeremy Carnahan of Normal IL (US)

Michael Stine Mcgraw of Bloomington IL (US)

John Andrew Schirano of Bloomington IL (US)

SYSTEMS AND METHODS FOR ENHANCED BASE MAP GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20230087702 titled 'SYSTEMS AND METHODS FOR ENHANCED BASE MAP GENERATION

Simplified Explanation

The abstract describes a computer system that can analyze a photo of a driving environment and generate a three-dimensional representation of the environment. The system can identify roadway features in the photo, create a point cloud representation of the environment, assign a location to the point cloud, and generate an enhanced base map that includes the identified roadway feature.

  • The computer system receives a photo and location data of a driving environment.
  • An image recognition module identifies a roadway feature depicted in the photo.
  • A photogrammetry module generates a three-dimensional point cloud based on the photo and location data.
  • The point cloud represents the driving environment in a three-dimensional space.
  • The point cloud is localized by assigning a location to it based on the location data.
  • An enhanced base map is generated, including the identified roadway feature.

Potential Applications

  • Autonomous driving: The technology can be used to enhance the mapping capabilities of autonomous vehicles, allowing them to better understand and navigate the driving environment.
  • Road infrastructure planning: The three-dimensional representation of the driving environment can be used to analyze and plan road infrastructure improvements or expansions.
  • Traffic management: The enhanced base map can provide valuable information for traffic management systems, allowing for more efficient routing and congestion management.

Problems Solved

  • Accurate mapping: The system solves the problem of accurately mapping and representing a driving environment in three dimensions, including identifying and locating roadway features.
  • Localization: The system solves the problem of accurately assigning a location to the generated point cloud, ensuring its alignment with the real-world driving environment.

Benefits

  • Improved navigation: The enhanced base map can provide more accurate and detailed information for navigation systems, improving the accuracy of directions and reducing the risk of errors.
  • Enhanced safety: The technology can contribute to safer driving by providing autonomous vehicles with a better understanding of the driving environment, including the location and characteristics of roadway features.
  • Efficient infrastructure planning: The three-dimensional representation of the driving environment can aid in the planning and design of road infrastructure, leading to more efficient and effective transportation systems.


Original Abstract Submitted

a feature mapping computer system configured to (i) receive a localized image including a photo depicting a driving environment and location data associated with the photo, (ii) identify, using an image recognition module, a roadway feature depicted in the photo, (iii) generate, using a photogrammetry module, a point cloud based upon the photo and the location data, wherein the point cloud comprises a set of data points representing the driving environment in a three dimensional (“3d”) space, (iv) localize the point cloud by assigning a location to the point cloud based upon the location data, and (v) generate an enhanced base map that includes a roadway feature.

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