View source for 18601219. SYSTEMS AND METHODS FOR ENHANCED BASE MAP GENERATION simplified abstract (STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY)

=SYSTEMS AND METHODS FOR ENHANCED BASE MAP GENERATION=


==Organization Name==

[[:Category:STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY|STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY]]


[[Category:STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY]]

==Inventor(s)==

[[:Category:Jeremy Carnahan of Normal IL (US)|Jeremy Carnahan of Normal IL (US)]][[Category:Jeremy Carnahan of Normal IL (US)]]

[[:Category:Michael Stine Mcgraw of Bloomington IL (US)|Michael Stine Mcgraw of Bloomington IL (US)]][[Category:Michael Stine Mcgraw of Bloomington IL (US)]]

[[:Category:John Andrew Schirano of Bloomington IL (US)|John Andrew Schirano of Bloomington IL (US)]][[Category: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 18601219 titled 'SYSTEMS AND METHODS FOR ENHANCED BASE MAP GENERATION

The patent application describes a computer system that can analyze images of driving environments to create enhanced maps.

* The system receives an image with location data, identifies roadway features using image recognition, and generates a 3D point cloud of the driving environment.
* The point cloud is localized based on the location data and used to create an enhanced base map that includes the roadway feature.

Potential Applications:
This technology could be used in autonomous vehicles for better navigation and understanding of the surrounding environment. It could also be beneficial for urban planning and infrastructure development.

Problems Solved:
This system addresses the need for accurate mapping of driving environments, especially in complex urban areas where traditional maps may be insufficient.

Benefits:
The technology provides detailed and accurate maps that can improve navigation systems, enhance safety on the roads, and support various applications in transportation and urban development.

Commercial Applications:
This technology could be valuable for companies developing autonomous vehicles, mapping services, and urban planning software. It could also have applications in the transportation and logistics industry.

Questions about the technology:
1. How does this system improve upon traditional mapping methods?
This system uses advanced image recognition and photogrammetry techniques to create detailed 3D maps, providing more accurate and comprehensive data than traditional mapping methods.

2. What are the potential limitations of using image-based mapping systems like this?
Image-based mapping systems may face challenges in adverse weather conditions or low-light environments, which could affect the accuracy of the generated maps.


==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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