20240044662. UPDATING HIGH DEFINITION MAPS BASED ON LANE CLOSURE AND LANE OPENING simplified abstract (NVIDIA Corporation)

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UPDATING HIGH DEFINITION MAPS BASED ON LANE CLOSURE AND LANE OPENING

Organization Name

NVIDIA Corporation

Inventor(s)

Ronghua Zhang of Campbell CA (US)

Marlene Wan of Cupertino CA (US)

Yinghui Yao of San Ramon CA (US)

UPDATING HIGH DEFINITION MAPS BASED ON LANE CLOSURE AND LANE OPENING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240044662 titled 'UPDATING HIGH DEFINITION MAPS BASED ON LANE CLOSURE AND LANE OPENING

Simplified Explanation

The abstract describes a computer-implemented method for updating a high definition map of a route based on sensor data from an autonomous vehicle. The method involves determining the presence or absence of a lane closure object on a lane element, generating change candidates based on the change in the lane closure object, analyzing the change candidates, generating a final change candidate, and providing the final change candidate for updating the high definition map.

  • The method receives sensor data from an autonomous vehicle.
  • It determines the presence or absence of a lane closure object on a lane element.
  • It determines the change in the lane closure object.
  • It generates change candidates based on the change in the lane closure object.
  • It obtains a plurality of change candidates during a time period or when the vehicle is on a preceding lane element.
  • It analyzes the plurality of change candidates to determine the change.
  • It generates a final change candidate based on the change.
  • It provides the final change candidate for updating a high definition map of the route.

Potential applications of this technology:

  • Updating high definition maps for autonomous vehicles.
  • Enhancing the accuracy and reliability of lane closure information.
  • Improving navigation systems by providing real-time lane closure updates.

Problems solved by this technology:

  • Outdated or inaccurate lane closure information in maps.
  • Difficulty in detecting and updating lane closure information in real-time.

Benefits of this technology:

  • Improved safety for autonomous vehicles by providing up-to-date lane closure information.
  • Enhanced efficiency in navigation systems by avoiding lane closures and traffic congestion.
  • Better overall user experience by providing accurate and reliable lane closure updates.


Original Abstract Submitted

a computer-implemented method may comprise: receiving sensor data from a sensor of an autonomous vehicle; determining a presence of a lane closure object located on a lane element; determining a change of the lane closure object, selected from the presence of the lane closure object or absence of the lane closure object on the lane element; generating a change candidate based on the change in the lane closure object; obtaining a plurality of the change candidates during a time period or the autonomous vehicle being on a preceding lane element on the route; analyzing the plurality of change candidates for the change being the presence of the lane closure object or the absence of the lane closure object on the lane element; generating a final change candidate based on the change; and providing the final change candidate for updating a high definition map of the route having the lane element.

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