View source for Waymo LLC (20240311269). SIMULATOR METRICS FOR AUTONOMOUS DRIVING simplified abstract

=SIMULATOR METRICS FOR AUTONOMOUS DRIVING=


==Organization Name==

[[:Category:Waymo LLC|Waymo LLC]]


[[Category:Waymo LLC]]

==Inventor(s)==

[[:Category:Nico Montali of London (GB)|Nico Montali of London (GB)]][[Category:Nico Montali of London (GB)]]

[[:Category:Brandyn Allen White of Mountain View CA (US)|Brandyn Allen White of Mountain View CA (US)]][[Category:Brandyn Allen White of Mountain View CA (US)]]

[[:Category:Alex Richard Kuefler of San Jose CA (US)|Alex Richard Kuefler of San Jose CA (US)]][[Category:Alex Richard Kuefler of San Jose CA (US)]]

[[:Category:Paul Marie Vincent Mougin of Oxford (GB)|Paul Marie Vincent Mougin of Oxford (GB)]][[Category:Paul Marie Vincent Mougin of Oxford (GB)]]

==SIMULATOR METRICS FOR AUTONOMOUS DRIVING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240311269 titled 'SIMULATOR METRICS FOR AUTONOMOUS DRIVING

'''Simplified Explanation:'''
The patent application describes methods, systems, and apparatus for selecting simulators to evaluate control software for autonomous vehicles. It involves receiving data on a driving scenario, generating simulations using a simulator, and determining the realism of the simulator based on predicted values compared to actual values.

'''Key Features and Innovation:'''
* Selecting simulators for evaluating control software for autonomous vehicles
* Receiving data on driving scenarios and low-level statistics
* Generating simulations using a simulator
* Determining the realism of the simulator based on predicted values
* Assessing the likelihood of the simulator accurately representing the driving scenario

'''Potential Applications:'''
This technology can be applied in the development and testing of control software for autonomous vehicles, ensuring that simulators accurately represent real-world driving scenarios.

'''Problems Solved:'''
The technology addresses the challenge of selecting appropriate simulators to evaluate control software for autonomous vehicles accurately.

'''Benefits:'''
* Improved accuracy in evaluating control software for autonomous vehicles
* Enhanced realism in simulator-based testing
* Efficient development and testing processes for autonomous vehicle technology

'''Commercial Applications:'''
Potential commercial applications include software development companies, automotive manufacturers, and research institutions working on autonomous vehicle technology.

'''Prior Art:'''
Prior art related to this technology may include research on simulator-based testing for autonomous vehicles and control software evaluation methods.

'''Frequently Updated Research:'''
Ongoing research in this field may focus on enhancing simulator realism, improving predictive modeling for driving scenarios, and optimizing control software evaluation processes.

'''Questions about Autonomous Vehicle Simulator Selection:'''
1. How does this technology improve the accuracy of evaluating control software for autonomous vehicles?
2. What are the potential commercial implications of using simulators to test autonomous vehicle technology?


==Original Abstract Submitted==

methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting simulators for evaluating control software for autonomous vehicles. in one aspect, a system comprises: receiving data specifying a driving scenario in an environment; receiving an actual value of a low-level statistic measuring a corresponding property of the driving scenario; generating simulations of the driving scenario using a simulator; determining, for each simulation, a respective predicted value of the low-level statistic that measures the corresponding property of the simulation; determining, from the respective predicted values for the simulations, a likelihood assigned to the actual value of the low-level statistic by the simulations; and determining, from the likelihood, a low-level metric for the simulator and for the driving scenario that measures a realism of the simulator with respect to the corresponding property of the driving scenario.



[[Category:G06F11/34]]
[[Category:G06F8/60]]
[[Category:CPC_G06F11/3457]]