18507278. INFORMATION PROCESSING SYSTEM simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)
Contents
- 1 INFORMATION PROCESSING SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING SYSTEM - 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 Collision Warning Reproduction
- 1.13 Original Abstract Submitted
INFORMATION PROCESSING SYSTEM
Organization Name
TOYOTA JIDOSHA KABUSHIKI KAISHA
Inventor(s)
Satoshi Uno of Mishima-shi (JP)
INFORMATION PROCESSING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18507278 titled 'INFORMATION PROCESSING SYSTEM
Simplified Explanation
This patent application describes an information processing system that estimates if a collision warning in one vehicle will be reproduced in another vehicle. It involves acquiring data about the target vehicle and inputting it into a model to predict collision warning reproduction.
- The system acquires data about a target vehicle.
- It uses a model to predict if a collision warning will be reproduced in other vehicles.
Key Features and Innovation
- Acquisition unit gathers target vehicle data.
- Collision warning reproduction model predicts warning reproduction.
- Reproduction estimation unit estimates warning reproduction in other vehicles.
Potential Applications
This technology can be used in the automotive industry to enhance collision warning systems and improve road safety. It can also be applied in research and development for vehicle safety features.
Problems Solved
This technology addresses the need to predict if a collision warning in one vehicle will be reproduced in other vehicles accurately. It helps in understanding the impact of warning systems on different vehicles.
Benefits
- Improved accuracy in predicting collision warning reproduction.
- Enhanced safety features in vehicles.
- Better understanding of warning system effectiveness.
Commercial Applications
- Automotive industry for advanced collision warning systems.
- Research and development for vehicle safety features.
- Insurance companies for risk assessment based on warning system effectiveness.
Prior Art
Readers can explore prior patents related to collision warning systems, vehicle safety features, and information processing in the automotive industry to understand the background of this technology.
Frequently Updated Research
Researchers may find updated studies on collision warning systems, vehicle safety technologies, and information processing advancements in the automotive sector relevant to this technology.
Questions about Collision Warning Reproduction
What factors contribute to the accuracy of collision warning reproduction predictions?
The accuracy of collision warning reproduction predictions depends on the quality of target vehicle data and the effectiveness of the collision warning reproduction model.
How can this technology benefit different types of vehicles, such as cars, trucks, and motorcycles?
This technology can benefit various types of vehicles by providing insights into the effectiveness of collision warning systems across different vehicle models and sizes.
Original Abstract Submitted
An information processing system for estimating whether the activation of a collision warning in a predetermined target vehicle is reproduced in another target vehicle, comprising: an acquisition unit for acquiring target vehicle data, which is information about the target vehicle; and a target of the predetermined target vehicle. By inputting the target vehicle data acquired by the acquisition unit into the collision warning reproduction model generated by extracting the feature amount that contributes to the reproduction of the collision warning from the vehicle data, it is possible to determine whether the collision warning will be reproduced in other target vehicles and a reproduction estimation unit for estimating.
