Sony group corporation (20240338770). INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, SERVER DEVICE, VEHICLE DEVICE, AND INFORMATION PROCESSING PROGRAM simplified abstract
Contents
- 1 INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, SERVER DEVICE, VEHICLE DEVICE, AND INFORMATION PROCESSING PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, SERVER DEVICE, VEHICLE DEVICE, AND INFORMATION PROCESSING PROGRAM - 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 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about the Technology
- 1.13 Original Abstract Submitted
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, SERVER DEVICE, VEHICLE DEVICE, AND INFORMATION PROCESSING PROGRAM
Organization Name
Inventor(s)
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, SERVER DEVICE, VEHICLE DEVICE, AND INFORMATION PROCESSING PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338770 titled 'INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, SERVER DEVICE, VEHICLE DEVICE, AND INFORMATION PROCESSING PROGRAM
Simplified Explanation
The patent application describes a device that generates simulated moving images based on fault percentage rules defined during accidents, allowing for the creation of learning data for training purposes.
- Acquires fault percentage rules related to accidents
- Generates simulated moving images based on these rules
- Creates learning data by associating parameters with fault percentages
Key Features and Innovation
- Acquisition unit gathers fault percentage rules
- Moving image generation unit creates simulated images
- Learning data generation unit associates parameters with fault percentages
Potential Applications
This technology could be used in driver training simulations, insurance claim assessments, and accident reconstruction scenarios.
Problems Solved
This technology helps in understanding fault percentages in accidents, improving training simulations, and enhancing accident investigation processes.
Benefits
- Enhanced training simulations
- Improved accident investigation accuracy
- Better understanding of fault percentages in accidents
Commercial Applications
- Driver training software development
- Accident reconstruction services
- Insurance claim assessment tools
Prior Art
Readers interested in prior art related to this technology could explore research on accident reconstruction software, driver training simulations, and fault assessment algorithms.
Frequently Updated Research
Stay updated on advancements in accident reconstruction technology, driver training simulations, and fault assessment methodologies.
Questions about the Technology
What are the potential real-world applications of this technology?
This technology could be applied in driver training, insurance claim assessments, and accident reconstruction services to enhance accuracy and efficiency.
How does this technology improve accident investigation processes?
By generating simulated moving images based on fault percentage rules, this technology provides a visual representation of accident scenarios, aiding in understanding and analyzing the events.
Original Abstract Submitted
an information processing device () includes an acquisition unit () that acquires a fault percentage rule defined according to a situation at a time of occurrence of an accident and indicating a percentage of fault of a party of the accident, a moving image generation unit () that generates a simulated moving image assuming the situation at the time of occurrence of the accident which situation corresponds to the fault percentage rule, and a learning data generation unit () that generates learning data in which a learning moving image in which a component included in the simulated moving image is changed as a parameter is associated with the percentage of fault.
