Toyota jidosha kabushiki kaisha (20240157955). DRIVING ASSIST SYSTEM simplified abstract
Contents
- 1 DRIVING ASSIST SYSTEM
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 20240157955 titled 'DRIVING ASSIST SYSTEM
Simplified Explanation
The abstract describes a patent application for a processing server that detects incidents involving vehicles by analyzing various data points and then suggests new functions to the vehicle based on the detected incident.
- The processing server analyzes position information, image information, and traveling data acquired from the vehicle to detect incidents.
- Once an incident is detected, the server proposes a new function to the vehicle at an estimated time when the user has calmed down and their memory of the incident is clear.
Potential Applications
This technology could be applied in the automotive industry for enhancing vehicle safety and providing proactive solutions for incidents on the road.
Problems Solved
1. Improved incident detection and response in vehicles. 2. Enhancing user experience and safety by suggesting new functions based on detected incidents.
Benefits
1. Increased safety for vehicle occupants. 2. Proactive incident response and prevention. 3. Enhanced user experience through personalized functions.
Potential Commercial Applications
Enhancing vehicle safety systems in cars, trucks, and other modes of transportation.
Possible Prior Art
There may be existing systems that analyze vehicle data for incident detection and response, but the specific combination of analyzing position, image, and traveling data to suggest new functions based on incidents may be unique to this patent application.
Unanswered Questions
How does the processing server determine the appropriate new function to suggest to the vehicle?
The abstract does not provide details on the specific criteria or algorithms used by the processing server to select the new function corresponding to the detected incident.
What types of incidents are considered by the processing server, and how are they prioritized for suggesting new functions?
The abstract does not specify the range of incidents that the processing server can detect or how it prioritizes them for proposing new functions to the vehicle.
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.
