18059084. INCREASE SIMULATOR PERFORMANCE USING MULTIPLE MESH FIDELITIES FOR DIFFERENT SENSOR MODALITIES simplified abstract (GM Cruise Holdings LLC)
Contents
- 1 INCREASE SIMULATOR PERFORMANCE USING MULTIPLE MESH FIDELITIES FOR DIFFERENT SENSOR MODALITIES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INCREASE SIMULATOR PERFORMANCE USING MULTIPLE MESH FIDELITIES FOR DIFFERENT SENSOR MODALITIES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
INCREASE SIMULATOR PERFORMANCE USING MULTIPLE MESH FIDELITIES FOR DIFFERENT SENSOR MODALITIES
Organization Name
Inventor(s)
Kyle Smith of Frankfort IL (US)
INCREASE SIMULATOR PERFORMANCE USING MULTIPLE MESH FIDELITIES FOR DIFFERENT SENSOR MODALITIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18059084 titled 'INCREASE SIMULATOR PERFORMANCE USING MULTIPLE MESH FIDELITIES FOR DIFFERENT SENSOR MODALITIES
Simplified Explanation
The patent application describes systems and methods for using different mesh fidelities for different sensor modalities in a vehicle simulation. This involves generating synthetic sensor data based on low-fidelity mesh data representing an object, generating a synthetic driving scene based on high-fidelity mesh data representing the object, and executing a vehicle compute process based on the synthetic driving scene and sensor data.
- This innovation allows for more realistic and accurate vehicle simulations by combining low-fidelity and high-fidelity mesh data for different sensor modalities.
- By using different mesh fidelities for different sensor modalities, the system can provide a more comprehensive and detailed simulation of driving scenarios.
- The technology enables the simulation of various driving conditions and scenarios with a high level of accuracy and realism.
Potential Applications
The technology can be applied in the development and testing of autonomous vehicles, driver assistance systems, and virtual reality driving simulations.
Problems Solved
This technology addresses the challenge of creating realistic and accurate vehicle simulations by utilizing different mesh fidelities for different sensor modalities.
Benefits
The use of different mesh fidelities enhances the accuracy and realism of vehicle simulations, leading to improved performance and safety in autonomous driving systems.
Potential Commercial Applications
Potential commercial applications of this technology include automotive industry for testing and validating autonomous driving systems, simulation software development companies, and virtual reality driving simulation platforms.
Possible Prior Art
One possible prior art could be the use of varying levels of detail in mesh data for different applications in computer graphics and simulation technology.
Unanswered Questions
How does this technology impact the computational resources required for vehicle simulations?
The patent application does not provide information on the computational resources needed to implement this technology and whether it has any impact on the efficiency of vehicle simulations.
What are the potential limitations or challenges in implementing this technology in real-world driving scenarios?
The patent application does not address any potential limitations or challenges that may arise when applying this technology in practical driving situations, such as real-time processing requirements or compatibility with existing sensor systems.
Original Abstract Submitted
Systems and methods using different mesh fidelities for different sensor modalities in a vehicle simulation are provided. For instance, a computer-implemented system includes one or more processing units; and one or more non-transitory computer-readable media storing instructions, when executed by the one or more processing units, cause the one or more processing units to perform operations including generating synthetic sensor data based on low-fidelity mesh data representing an object; generating a synthetic driving scene including the object, the generating the synthetic driving scene is based at least in part on high-fidelity mesh data representing the object; and executing a vehicle compute process based on the synthetic driving scene and the synthetic sensor data.
