Toyota jidosha kabushiki kaisha (20240265810). INFORMATION PROCESSING SYSTEM simplified abstract

From WikiPatents
Jump to navigation Jump to search

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 20240265810 titled 'INFORMATION PROCESSING SYSTEM

Simplified Explanation: The patent application describes an information processing system that estimates whether a collision warning activation in one vehicle will be reproduced in another vehicle. This system uses target vehicle data and a collision warning reproduction model to make this determination.

  • **Acquisition Unit:** Acquires target vehicle data, which includes information about the target vehicle.
  • **Collision Warning Reproduction Model:** Generated by extracting feature amounts that contribute to the reproduction of the collision warning from the vehicle data.
  • **Reproduction Estimation Unit:** Estimates whether the collision warning will be reproduced in other target vehicles.

Key Features and Innovation:

  • Utilizes target vehicle data and a collision warning reproduction model to estimate the reproduction of collision warnings in different vehicles.
  • Extracts feature amounts from vehicle data to determine the likelihood of collision warning reproduction.
  • Provides a systematic approach to assessing the spread of collision warnings among target vehicles.

Potential Applications: This technology can be applied in the automotive industry for enhancing collision warning systems and improving road safety. It can also be used in research and development for studying the impact of collision warnings across different vehicle models.

Problems Solved:

  • Predicting the spread of collision warnings in various target vehicles.
  • Enhancing the accuracy of collision warning systems.
  • Improving overall road safety by assessing potential collision scenarios.

Benefits:

  • Increased safety on the roads.
  • Enhanced collision warning system effectiveness.
  • Better understanding of collision warning propagation among vehicles.

Commercial Applications: Potential commercial applications include integrating this technology into vehicle safety systems, selling it to automotive manufacturers for research and development purposes, and offering it as a service for analyzing collision warning data.

Prior Art: While there is no specific prior art mentioned in the abstract, researchers can explore existing collision warning systems and data analysis methods in the automotive industry to find related technologies.

Frequently Updated Research: Researchers in the field of automotive safety and data analysis may be conducting studies on the effectiveness of collision warning systems and the impact of such technologies on road safety.

Questions about Collision Warning Reproduction: 1. How does the system determine the likelihood of collision warning reproduction in other target vehicles? 2. What are the key components of the collision warning reproduction model used in this technology?


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.