18183693. MACHINE LEARNING MODELS FOR PROCESSING DATA FROM DIFFERENT VEHICLE PLATFORMS simplified abstract (GM Cruise Holdings LLC)
Contents
- 1 MACHINE LEARNING MODELS FOR PROCESSING DATA FROM DIFFERENT VEHICLE PLATFORMS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MACHINE LEARNING MODELS FOR PROCESSING DATA FROM DIFFERENT VEHICLE PLATFORMS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about the Technology
- 1.11 Original Abstract Submitted
MACHINE LEARNING MODELS FOR PROCESSING DATA FROM DIFFERENT VEHICLE PLATFORMS
Organization Name
Inventor(s)
Burkay Donderici of Burlingame CA (US)
MACHINE LEARNING MODELS FOR PROCESSING DATA FROM DIFFERENT VEHICLE PLATFORMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18183693 titled 'MACHINE LEARNING MODELS FOR PROCESSING DATA FROM DIFFERENT VEHICLE PLATFORMS
Simplified Explanation
The patent application describes systems and techniques for mapping data from one vehicle platform to another. Specifically, it focuses on transferring sensor data from an autonomous vehicle to a different vehicle platform.
- Obtaining sensor data from an autonomous vehicle in a scene.
- Identifying differences between the sensor data of the target vehicle platform and a reference vehicle platform.
- Mapping the sensor data from the target vehicle platform to the reference vehicle platform.
- Processing the mapped sensor data using software models.
Key Features and Innovation
- Transfer of sensor data from one vehicle platform to another.
- Mapping sensor data based on differences between platforms.
- Utilizing software models to process mapped sensor data.
Potential Applications
This technology can be applied in various industries such as autonomous vehicles, transportation, and data analysis.
Problems Solved
This technology addresses the challenge of transferring sensor data between different vehicle platforms efficiently and accurately.
Benefits
- Improved data mapping between vehicle platforms.
- Enhanced processing of sensor data for different vehicle platforms.
- Increased compatibility and interoperability in data analysis.
Commercial Applications
- Autonomous vehicle technology companies.
- Transportation and logistics companies.
- Data analysis and software development firms.
Questions about the Technology
How does this technology improve data processing in autonomous vehicles?
This technology enhances the efficiency and accuracy of transferring and processing sensor data between different vehicle platforms, ultimately improving the overall performance of autonomous vehicles.
What are the potential implications of this technology in the transportation industry?
This technology can revolutionize data mapping and processing in transportation, leading to more advanced and efficient systems for vehicle communication and analysis.
Original Abstract Submitted
Systems and techniques are provided for mapping data from a vehicle platform to a different vehicle platform. An example method can include obtaining sensor data collected by an autonomous vehicle (AV) in a scene, the AV comprising a target vehicle platform, the sensor data describing, measuring, or depicting one or more elements in the scene; determining one or more differences between the sensor data associated with the target vehicle platform and additional sensor data associated with a reference vehicle platform, the reference vehicle platform being associated with one or more software models that are trained to process data from the reference vehicle platform; based on the one or more differences, mapping the sensor data associated with the target vehicle platform to the reference vehicle platform; and processing the mapped sensor data via the one or more software models.
