View source for SmartDrive Systems, Inc. (20240274028). SYSTEMS AND METHODS FOR COMPARING DRIVING PERFORMANCE FOR SIMULATED DRIVING simplified abstract

=SYSTEMS AND METHODS FOR COMPARING DRIVING PERFORMANCE FOR SIMULATED DRIVING=


==Organization Name==

[[:Category:SmartDrive Systems, Inc.|SmartDrive Systems, Inc.]]


[[Category:SmartDrive Systems, Inc.]]

==Inventor(s)==

[[:Category:Jason Palmer of Carlsbad CA (US)|Jason Palmer of Carlsbad CA (US)]][[Category:Jason Palmer of Carlsbad CA (US)]]

[[:Category:Reza Ghanbari of San Diego CA (US)|Reza Ghanbari of San Diego CA (US)]][[Category:Reza Ghanbari of San Diego CA (US)]]

[[:Category:Nicholas Shayne Brookins of Encinitas CA (US)|Nicholas Shayne Brookins of Encinitas CA (US)]][[Category:Nicholas Shayne Brookins of Encinitas CA (US)]]

[[:Category:Slaven Sljivar of San Diego CA (US)|Slaven Sljivar of San Diego CA (US)]][[Category:Slaven Sljivar of San Diego CA (US)]]

[[:Category:Mark Freitas of San Diego CA (US)|Mark Freitas of San Diego CA (US)]][[Category:Mark Freitas of San Diego CA (US)]]

[[:Category:Barry James Parshall of Portland OR (US)|Barry James Parshall of Portland OR (US)]][[Category:Barry James Parshall of Portland OR (US)]]

[[:Category:Daniel Andrew Deninger of Carlsbad CA (US)|Daniel Andrew Deninger of Carlsbad CA (US)]][[Category:Daniel Andrew Deninger of Carlsbad CA (US)]]

[[:Category:Behzad Shahrasbi of San Diego CA (US)|Behzad Shahrasbi of San Diego CA (US)]][[Category:Behzad Shahrasbi of San Diego CA (US)]]

[[:Category:Mojtaba Ziyadi of San Diego CA (US)|Mojtaba Ziyadi of San Diego CA (US)]][[Category:Mojtaba Ziyadi of San Diego CA (US)]]

==SYSTEMS AND METHODS FOR COMPARING DRIVING PERFORMANCE FOR SIMULATED DRIVING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240274028 titled 'SYSTEMS AND METHODS FOR COMPARING DRIVING PERFORMANCE FOR SIMULATED DRIVING

==Simplified Explanation==
This patent application describes a system that evaluates the driving performance of a vehicle operator using a simulated vehicle in a simulation engine. Metrics are used to measure the operator's performance based on the simulated results.

* The system determines driving performance by a vehicle operator in a simulated driving scenario.
* Individual vehicle event scenarios correspond to specific vehicle events.
* The operator, such as an autonomous driving algorithm, controls the simulated vehicle in the simulation engine for various scenarios.
* Metrics quantify the operator's performance based on the simulated outcomes.

==Potential Applications==
This technology can be applied in the development and testing of autonomous driving algorithms, driver training simulations, and performance evaluation of vehicle operators in various scenarios.

==Problems Solved==
This system addresses the need for a reliable and objective method to assess the driving performance of vehicle operators in simulated environments.

==Benefits==
The system provides a standardized and quantitative way to evaluate the performance of vehicle operators, leading to improved safety and efficiency in driving scenarios.

==Commercial Applications==
* Automotive industry for testing autonomous driving algorithms
* Driver training schools for simulating real-world scenarios
* Fleet management companies for monitoring driver performance

==Questions about the Technology==
===How does this system improve the accuracy of evaluating driving performance compared to traditional methods?===
The system uses simulated scenarios to objectively measure the performance of vehicle operators, eliminating subjective biases that may exist in traditional evaluation methods.

===What are the potential implications of using this technology in the development of autonomous vehicles?===
By using this technology, developers can fine-tune autonomous driving algorithms and improve their performance in various driving scenarios.


==Original Abstract Submitted==

this disclosure relates to a system that determines driving performance by a vehicle operator for simulated driving of a simulated vehicle in a simulation engine. individual vehicle event scenarios correspond to vehicle events. individual simulation scenarios correspond to individual vehicle event scenarios. a vehicle operator, e.g., an autonomous driving algorithm, operates the simulated vehicle in the simulation engine for a set of simulation scenarios. one or more metrics quantify the performance of the vehicle operator based on simulated results.



[[Category:G09B9/052]]
[[Category:B60W40/09]]
[[Category:B60W50/14]]
[[Category:G08G1/16]]
[[Category:CPC_G09B9/052]]