US Patent Application 17732630. SYSTEMS AND METHODS FOR SIMULATING CHANGE DETECTION DATA simplified abstract

From WikiPatents
Jump to navigation Jump to search

SYSTEMS AND METHODS FOR SIMULATING CHANGE DETECTION DATA

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA


Inventor(s)

Xipeng Wang of Ann Arbor MI (US)

Ryan M. Wiesenberg of South Lyon MI (US)

SYSTEMS AND METHODS FOR SIMULATING CHANGE DETECTION DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 17732630 titled 'SYSTEMS AND METHODS FOR SIMULATING CHANGE DETECTION DATA

Simplified Explanation

The patent application describes a system and methods for simulating change detection data.

  • The system converts features from a standard-definition (SD) map into high-definition (HD) map features.
  • Modified map features are generated based on the HD map features.
  • A machine learning model is trained using the HD map features and the modified map features.
  • The machine learning model is designed to detect changes between data from an HD map and sensor data generated by a vehicle in the environment.


Original Abstract Submitted

System, methods, and other embodiments described herein relate to simulating change detection data. In one embodiment, a method includes converting features from a standard-definition (SD) map into high-definition (HD) map features. The method includes generating modified map features based upon the HD map features. The method includes training a machine learning model based upon the HD map features and the modified map features. The machine learning model is configured to detect a change between data from an HD map corresponding to an environment and sensor data generated by a vehicle in the environment.

Retrieved from "http://wikipatents.org/index.php?title=US_Patent_Application_17732630._SYSTEMS_AND_METHODS_FOR_SIMULATING_CHANGE_DETECTION_DATA_simplified_abstract&oldid=6192"