System for evaluating performance of autonomous driving ai
AssigneeSoftBank Group Corp.
InventorRyo HANAZAKI
Life of this patent
Estimating the term…
Abstract
A system that executes highly realistic and diverse simulations by generating virtual vehicles, humans, and environments from natural language and video data using generative AI and inputting them into a digital twin. A generative AI unit analyzes data by making full use of natural language processing technology and computer vision technology, and sets parameters of a virtual environment. A digital twin unit reproduces the physical characteristics of the real world using a physics engine, and a simulation control unit evaluates various scenarios using an autonomous driving AI.
Claims7
A system for evaluating performance of an autonomous driving AI, the system comprising circuitry,
- wherein the circuitry is configured to:
- generate a virtual object by analyzing input natural language data and video data using natural language processing technology and computer vision technology;
- construct a virtual environment that reproduces physical characteristics and behavior of a real world based on the virtual object;
- execute a simulation under a plurality of scenarios using the autonomous driving AI in the virtual environment;
- and
- evaluate the performance of the autonomous driving AI for each of the plurality of scenarios.
A method of evaluating performance of an autonomous driving AI, the method comprising:
- analyzing input natural language data and video data using natural language processing technology and computer vision technology to generate a virtual object including a virtual vehicle, a virtual human, virtual weather, and a virtual road surface;
- constructing a virtual environment that reproduces physical characteristics and behavior of a real world based on the virtual object;
- executing a simulation under a plurality of scenarios using the autonomous driving AI in the virtual environment;
- and
- evaluating the performance of the autonomous driving AI for each of the plurality of scenarios.
Dependencies are inferred from the claim text.