18461725. DRIVING ASSIST SYSTEM simplified abstract (Toyota Jidosha Kabushiki Kaisha)

DRIVING ASSIST SYSTEM

Organization Name

Toyota Jidosha Kabushiki Kaisha

Inventor(s)

Masahiro Yamada of Toyota-shi (JP)

Hideo Suganuma of Okazaki-shi (JP)

Tetsuo Hayakawa of Kurokawa-gun (JP)

DRIVING ASSIST SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18461725 titled 'DRIVING ASSIST SYSTEM

Simplified Explanation

The abstract describes a patent application for a processing server that detects incidents involving vehicles by analyzing position information, image information, and traveling data acquired from the vehicle. The server then suggests a new function to the vehicle based on the detected incident.

• The processing server analyzes position information, image information, and traveling data from the vehicle to detect incidents.
• The server selects a new function corresponding to the detected incident and proposes it to the vehicle.
• The proposal is made at an estimated timing when the user has cooled down from the incident but still remembers it clearly.

Potential Applications

This technology could be applied in various industries such as transportation, logistics, and automotive safety systems.

Problems Solved

This technology helps in quickly detecting incidents involving vehicles and suggesting appropriate functions to address the situation, improving overall safety and efficiency.

Benefits

The benefits of this technology include enhanced incident response, improved user experience, and increased vehicle safety.

Potential Commercial Applications

One potential commercial application of this technology could be in developing advanced driver assistance systems (ADAS) for vehicles.

Possible Prior Art

Prior art may include existing systems that analyze vehicle data for incident detection and response, but the specific method of suggesting new functions based on the incident may be novel.

What is the specific method used to analyze position information, image information, and traveling data to detect incidents involving vehicles?

The abstract does not provide detailed information on the specific algorithms or techniques used for analyzing the different types of data to detect incidents.

How does the processing server determine the appropriate new function to suggest to the vehicle based on the detected incident?

The abstract does not elaborate on the criteria or decision-making process used by the processing server to select the new function corresponding to the detected incident.

Original Abstract Submitted

A processing server detects an incident of a vehicle by analyzing one of position information about the vehicle, image information about the periphery of the vehicle, and traveling data about the vehicle, which are acquired from the vehicle, and selects a new function corresponding to the detected incident. Then, the processing server gives notice of the proposal for the new function to the vehicle, as an estimated timing when a user having encountered the incident has cooled down while the user's memory about the incident is clear.