Temporal prediction model for semantic intent understanding

US10627818B2 · kind B2 · utility

Assignee

• Zoox, Inc. · US

Inventors

• Benjamin Sapp · Santa Monica, US
• Yilun Wang · Auckland, NZ

Key dates

• Filing date: Mar 28, 2018
• Grant date: Apr 21, 2020
• Expiry date: Apr 26, 2038

Classification

• Technology area (CPC B): Performing Operations; Transporting
• CPC primary: B60W2556/40
• WIPO field: Control
• WIPO sector: Instruments

Abstract

A temporal prediction model for semantic intent understanding is described. An agent (e.g., a moving object) in an environment can be detected in sensor data collected from sensors on a vehicle. Computing device(s) associated with the vehicle can determine, based partly on the sensor data, attribute(s) of the agent (e.g., classification, position, velocity, etc.), and can generate, based partly on the attribute(s) and a temporal prediction model, semantic intent(s) of the agent (e.g., crossing a road, staying straight, etc.), which can correspond to candidate trajectory(s) of the agent. The candidate trajectory(s) can be associated with weight(s) representing likelihood(s) that the agent will perform respective intent(s). The computing device(s) can use one (or more) of the candidate trajectory(s) to determine a vehicle trajectory along which a vehicle is to drive.