SmartDrive Systems, Inc. (20240274028). SYSTEMS AND METHODS FOR COMPARING DRIVING PERFORMANCE FOR SIMULATED DRIVING simplified abstract
Contents
- 1 SYSTEMS AND METHODS FOR COMPARING DRIVING PERFORMANCE FOR SIMULATED DRIVING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR COMPARING DRIVING PERFORMANCE FOR SIMULATED DRIVING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Commercial Applications
- 1.9 Questions about the Technology
- 1.10 Original Abstract Submitted
SYSTEMS AND METHODS FOR COMPARING DRIVING PERFORMANCE FOR SIMULATED DRIVING
Organization Name
Inventor(s)
Jason Palmer of Carlsbad CA (US)
Reza Ghanbari of San Diego CA (US)
Nicholas Shayne Brookins of Encinitas CA (US)
Slaven Sljivar of San Diego CA (US)
Mark Freitas of San Diego CA (US)
Barry James Parshall of Portland OR (US)
Daniel Andrew Deninger of Carlsbad CA (US)
Behzad Shahrasbi of San Diego CA (US)
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.
- SmartDrive Systems, Inc.
- Jason Palmer of Carlsbad CA (US)
- Reza Ghanbari of San Diego CA (US)
- Nicholas Shayne Brookins of Encinitas CA (US)
- Slaven Sljivar of San Diego CA (US)
- Mark Freitas of San Diego CA (US)
- Barry James Parshall of Portland OR (US)
- Daniel Andrew Deninger of Carlsbad CA (US)
- Behzad Shahrasbi of San Diego CA (US)
- Mojtaba Ziyadi of San Diego CA (US)
- G09B9/052
- B60W40/09
- B60W50/14
- G08G1/16
- CPC G09B9/052