Nvidia corporation (20240255307). INTERSECTION DETECTION FOR MAPPING IN AUTONOMOUS SYSTEMS AND APPLICATIONS simplified abstract

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INTERSECTION DETECTION FOR MAPPING IN AUTONOMOUS SYSTEMS AND APPLICATIONS

Organization Name

nvidia corporation

Inventor(s)

Yixuan Lin of San Jose CA (US)

INTERSECTION DETECTION FOR MAPPING IN AUTONOMOUS SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240255307 titled 'INTERSECTION DETECTION FOR MAPPING IN AUTONOMOUS SYSTEMS AND APPLICATIONS

The abstract of the patent application describes systems and methods that use sensor data to identify intersections for mapping in autonomous or semi-autonomous systems and applications. The sensor data, such as image data, is generated by vehicles navigating within an environment, and is used to determine the locations and layouts of intersections within the environment.

  • Systems and methods receive sensor data from vehicles navigating within an environment.
  • The sensor data is analyzed to detect the locations of intersections, such as the boundaries of the intersections.
  • The map is updated to indicate the locations of the intersections by showing the boundaries within the map using bounding shapes generated based on the locations of the boundaries.
      1. Potential Applications:

- Autonomous driving systems - Traffic management systems - Urban planning and development

      1. Problems Solved:

- Efficient mapping of intersections - Improved navigation in complex environments - Enhanced safety in autonomous systems

      1. Benefits:

- Accurate mapping of intersections - Enhanced situational awareness for vehicles - Improved efficiency in navigation

      1. Commercial Applications:

The technology can be utilized in autonomous vehicles, smart city infrastructure, and transportation management systems to improve mapping accuracy and navigation efficiency.

      1. Questions about Intersections Mapping:

1. How does this technology improve the accuracy of mapping intersections? 2. What are the potential challenges in implementing this technology in real-world scenarios?

      1. Frequently Updated Research:

Researchers are continually exploring ways to enhance the precision and speed of intersection mapping using sensor data in autonomous systems. Stay updated on the latest advancements in this field for improved navigation solutions.


Original Abstract Submitted

in various examples, intersections may be identified using sensor data for mapping in autonomous or semi-autonomous systems and applications. systems and methods are disclosed that receive sensor data, such as image data, generated using one or more sensor of one or more vehicles navigating within an environment. the systems and methods may then use the sensor data to determine the locations and/or layouts of intersections within the environment and update a map to indicate the locations and/or layouts. for instance, the sensor data may be analyzed to detect the locations of the intersections, such as the locations of the boundaries of the intersections for which the vehicles navigated through. the map may then be updated to indicate the locations of the intersections by indicating the locations of the boundaries within the map, such as by using bounding shapes that are generated based on the locations of the boundaries.

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