View source for Kookmin University Industry Academy Cooperation Foundation (20240343270). SIMULATION DEVICE FOR PROVING-GROUND BASED VEHICLE-IN-THE-LOOP SIMULATION TEST AND SIMULATION METHOD THEREOF simplified abstract

=SIMULATION DEVICE FOR PROVING-GROUND BASED VEHICLE-IN-THE-LOOP SIMULATION TEST AND SIMULATION METHOD THEREOF=


==Organization Name==

[[:Category:Kookmin University Industry Academy Cooperation Foundation|Kookmin University Industry Academy Cooperation Foundation]]


[[Category:Kookmin University Industry Academy Cooperation Foundation]]

==Inventor(s)==

[[:Category:Weon il Son of Seoul (KR)|Weon il Son of Seoul (KR)]][[Category:Weon il Son of Seoul (KR)]]

[[:Category:Tae Young Oh of Daejeon (KR)|Tae Young Oh of Daejeon (KR)]][[Category:Tae Young Oh of Daejeon (KR)]]

[[:Category:Yun Chul Ha of Seoul (KR)|Yun Chul Ha of Seoul (KR)]][[Category:Yun Chul Ha of Seoul (KR)]]

[[:Category:Jin Woo Yoo of Seoul (KR)|Jin Woo Yoo of Seoul (KR)]][[Category:Jin Woo Yoo of Seoul (KR)]]

==SIMULATION DEVICE FOR PROVING-GROUND BASED VEHICLE-IN-THE-LOOP SIMULATION TEST AND SIMULATION METHOD THEREOF - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240343270 titled 'SIMULATION DEVICE FOR PROVING-GROUND BASED VEHICLE-IN-THE-LOOP SIMULATION TEST AND SIMULATION METHOD THEREOF

The abstract describes a simulation method for a simulation device, involving the generation of a virtual road, synchronization of locations between an autonomous driving test vehicle in an actual proving ground and a simulation vehicle on the virtual road, generation of virtual traffic behavior based on pre-stored actual behavior data, generation of virtual perception sensor data for the virtual traffic based on state information of the synchronized test vehicle and behavior of the virtual traffic, and transmission of the virtual perception sensor data to the test vehicle.

* Generation of a virtual road for simulation purposes
* Synchronization of locations between real and virtual vehicles
* Generation of virtual traffic behavior based on pre-stored data
* Creation of virtual perception sensor data for virtual traffic
* Transmission of virtual perception sensor data to the test vehicle

Potential Applications:
- Autonomous vehicle testing and development
- Training simulations for autonomous driving systems
- Traffic management system testing

Problems Solved:
- Enhances the accuracy and realism of autonomous vehicle simulations
- Allows for comprehensive testing of autonomous driving systems in a controlled environment

Benefits:
- Improved safety and reliability of autonomous vehicles
- Cost-effective testing and development of autonomous driving technology
- Enhanced training opportunities for autonomous vehicle operators

Commercial Applications:
Title: Autonomous Vehicle Simulation Technology for Enhanced Testing and Development
This technology can be utilized by automotive companies, research institutions, and government agencies involved in autonomous vehicle development and testing. It can also be used by companies offering simulation software for autonomous driving systems.

Questions about Autonomous Vehicle Simulation Technology:
1. How does this simulation method improve the testing of autonomous driving systems?
This simulation method enhances testing by providing a realistic virtual environment for autonomous vehicles to operate in, allowing for comprehensive and accurate evaluations of system performance.

2. What are the potential cost savings associated with using this simulation method for autonomous vehicle testing?
By utilizing virtual simulations, companies can reduce the need for physical testing on proving grounds, saving time and resources in the development process.


==Original Abstract Submitted==

disclosed is a simulation method of a simulation device. the simulation method includes generating a virtual road; synchronizing a location of an autonomous driving test vehicle in an actual proving ground (pg) with a location of a simulation vehicle on the virtual road; generating behavior of virtual traffic on the virtual road based on pre-stored actual behavior data of a target vehicle; generating virtual perception sensor data for the virtual traffic based on state information of the synchronized autonomous driving test vehicle and the behavior of the virtual traffic; and transmitting the virtual perception sensor data to the synchronized autonomous driving test vehicle.



[[Category:B60W60/00]]
[[Category:B60W50/06]]
[[Category:CPC_B60W60/0025]]