US Patent Application 17733476. SYSTEMS AND METHODS FOR GENERATING UNIFORM FRAMES HAVING SENSOR AND AGENT DATA simplified abstract

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SYSTEMS AND METHODS FOR GENERATING UNIFORM FRAMES HAVING SENSOR AND AGENT DATA

Organization Name

TOYOTA JIDOSHA KABUSHIKI KAISHA


Inventor(s)

Chao Fang of Sunnyvale CA (US)

Charles Christopher Ochoa of San Francisco CA (US)

Kuan-Hui Lee of San Jose CA (US)

Kun-Hsin Chen of San Francisco CA (US)

Visak Kumar of San Francisco CA (US)

SYSTEMS AND METHODS FOR GENERATING UNIFORM FRAMES HAVING SENSOR AND AGENT DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 17733476 titled 'SYSTEMS AND METHODS FOR GENERATING UNIFORM FRAMES HAVING SENSOR AND AGENT DATA

Simplified Explanation

The patent application describes a method for improving the retrieval of sensor and agent data for processing by different vehicle tasks.

  • The method involves acquiring sensor data from a vehicle.
  • A frame is generated that includes the sensor data and agent perceptions determined from the sensor data at a specific time.
  • The agent perceptions include multi-dimensional data that describe features of surrounding vehicles.
  • The frame is related to other frames of the vehicle by track, where the other frames have processed data from different times.
  • The track has a predetermined window of scene information associated with an agent.
  • A learning model is trained using the agent perceptions accessed from the track.


Original Abstract Submitted

System, methods, and other embodiments described herein relate to a manner of generating and relating frames that improves the retrieval of sensor and agent data for processing by different vehicle tasks. In one embodiment, a method includes acquiring sensor data by a vehicle. The method also includes generating a frame including the sensor data and agent perceptions determined from the sensor data at a timestamp, the agent perceptions including multi-dimensional data that describes features for surrounding vehicles of the vehicle. The method also includes relating the frame to other frames of the vehicle by track, the other frames having processed data from various times and the track having a predetermined window of scene information associated with an agent. The method also includes training a learning model using the agent perceptions accessed from the track.

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