View source for 20240034353. AUTOMATIC GENERATION OF CORNER SCENARIOS DATA FOR TUNING AUTONOMOUS VEHICLES simplified abstract (Baidu USA LLC)

=AUTOMATIC GENERATION OF CORNER SCENARIOS DATA FOR TUNING AUTONOMOUS VEHICLES=


==Organization Name==

[[:Category:Baidu USA LLC|Baidu USA LLC]]


[[Category:Baidu USA LLC]]

==Inventor(s)==

[[:Category:Yu Cao of Sunnyvale CA (US)|Yu Cao of Sunnyvale CA (US)]][[Category:Yu Cao of Sunnyvale CA (US)]]

[[:Category:Weiman Lin of Sunnyvale CA (US)|Weiman Lin of Sunnyvale CA (US)]][[Category:Weiman Lin of Sunnyvale CA (US)]]

[[:Category:Shu Jiang of Sunnyvale CA (US)|Shu Jiang of Sunnyvale CA (US)]][[Category:Shu Jiang of Sunnyvale CA (US)]]

[[:Category:Szu Hao Wu of Sunnyvale CA (US)|Szu Hao Wu of Sunnyvale CA (US)]][[Category:Szu Hao Wu of Sunnyvale CA (US)]]

[[:Category:Jiangtao Hu of Sunnyvale CA (US)|Jiangtao Hu of Sunnyvale CA (US)]][[Category:Jiangtao Hu of Sunnyvale CA (US)]]

==AUTOMATIC GENERATION OF CORNER SCENARIOS DATA FOR TUNING AUTONOMOUS VEHICLES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240034353 titled 'AUTOMATIC GENERATION OF CORNER SCENARIOS DATA FOR TUNING AUTONOMOUS VEHICLES

==Simplified Explanation==

The abstract of this patent application describes a method for automatically generating corner simulation scenarios. The method involves generating parameter values, determining their validity based on predefined metrics, and performing simulation tasks to simulate a trajectory planner. A performance score is calculated for each simulation task, and if the score is below a threshold, the parameter values are saved for re-tuning the trajectory planner.

* The method automatically generates corner simulation scenarios.
* Parameter values are generated for predefined parameters.
* The validity of the parameter values is determined based on predefined metrics.
* Simulation tasks are performed to simulate a trajectory planner.
* A performance score is calculated for each simulation task.
* If the performance score is below a threshold, the parameter values are saved for re-tuning the trajectory planner.

Potential applications of this technology:
* Autonomous driving systems: This technology can be used to automatically generate simulation scenarios for testing and optimizing trajectory planners in autonomous vehicles.
* Robotics: The method can be applied to generate simulation scenarios for testing and improving trajectory planning algorithms in robotic systems.
* Virtual reality: This technology can be used to create realistic simulation scenarios for virtual reality applications, such as training simulations for pilots or drivers.

Problems solved by this technology:
* Manual scenario generation: This method eliminates the need for manual generation of simulation scenarios, saving time and effort.
* Optimization of trajectory planners: By automatically generating and simulating different scenarios, this technology helps optimize the performance of trajectory planners, leading to improved navigation and control in various applications.

Benefits of this technology:
* Efficiency: The automatic generation of simulation scenarios and the re-tuning of trajectory planners based on performance scores improve the efficiency of testing and optimization processes.
* Accuracy: By using predefined metrics to determine the validity of parameter values, this method ensures that only valid scenarios are simulated, leading to more accurate results.
* Adaptability: The ability to save and reuse parameter values for re-tuning the trajectory planner allows for easy adaptation and improvement of the system over time.


==Original Abstract Submitted==

embodiments of the invention are provided to automatically generate corner simulation scenarios. in an embodiment, an exemplary method includes performing the following operations for a predetermined number of iterations for each set of predefined parameters. the operations include generating a set of parameter values for the set of predefined parameters; determining whether the set of parameter values is valid or invalid based on a set of predefined metrics; and if the set of parameter values is valid, performing a simulation task to simulate a trajectory planner of the adv in a simulation scenario configured by the set of parameter values. the method further includes calculating a performance score for the simulation task; and if the performance score of the simulation task is below a predetermined threshold, saving the set of parameter values in a storage, wherein the set of parameter values is used for re-tuning the trajectory planner.



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