STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY (20240249473). SYSTEMS AND METHODS FOR ENHANCED BASE MAP GENERATION simplified abstract
Contents
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 20240249473 titled 'SYSTEMS AND METHODS FOR ENHANCED BASE MAP GENERATION
The patent application describes a computer system designed to process localized images of driving environments and generate enhanced base maps.
- Receive a localized image with a photo and location data.
- Identify a roadway feature in the image using image recognition.
- Generate a 3D point cloud based on the photo and location data.
- Localize the point cloud by assigning a location based on the data.
- Create an enhanced base map including the roadway feature.
Potential Applications: - Autonomous driving systems - Navigation and mapping applications - Urban planning and development projects
Problems Solved: - Accurate mapping of driving environments - Efficient generation of 3D point clouds - Enhanced visualization of roadway features
Benefits: - Improved accuracy in mapping and navigation - Enhanced spatial awareness for autonomous vehicles - Streamlined urban planning processes
Commercial Applications: Title: "Enhanced Mapping System for Autonomous Vehicles" This technology can be utilized by companies developing autonomous vehicles, mapping software providers, and urban planning agencies to enhance their mapping and navigation capabilities.
Questions about the technology: 1. How does the system ensure accurate identification of roadway features in the images? 2. What are the potential limitations of using photogrammetry to generate 3D point clouds from images?
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.
