Vehicle Characteristic Transfer for Unfamiliar Driving Environments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle systems fail to derive appropriate vehicle characteristics for a target location or environment if the vehicle has not traveled there before, leading to inadequate settings and manual adjustments by drivers.
Innovation Solution
A vehicle system that includes an information storage, acquirer, extractor, and transmitter to match vehicle information from sample vehicles with a target vehicle, allowing extraction and transmission of relevant vehicle characteristics for unfamiliar locations or environments, enabling automatic setting of vehicle characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle characteristics are learned only from the vehicle's own traveling data, then the vehicle can accurately represent its own driving habits, but the vehicle cannot derive appropriate characteristics for new locations or environments it has never visited
Solution Approach 1:
The patent combines the target vehicle's own traveling data with traveling data from other sample vehicles to derive vehicle characteristics. The server collects traveling data from multiple vehicles and uses this combined dataset to determine vehicle characteristics for the target vehicle, even in locations or environments the target vehicle has not visited. This merging of data sources resolves the contradiction by providing sufficient information for new conditions while maintaining accuracy through multiple data contributors.
Solution Approach 2:
The server creates a universal database of traveling data that serves multiple vehicles and multiple purposes. The same database is used to determine vehicle characteristics for any vehicle in any location or environment. This universal approach allows the system to provide appropriate vehicle characteristics for unfamiliar conditions by leveraging data from various sources, making the system adaptable to any scenario rather than being limited to each vehicle's individual experience.
2Ease of operation
If vehicle characteristics are manually adjusted by drivers, then the vehicle can be customized to driver preferences, but this increases the operational burden and time required for setup
Solution Approach 1:
The system enables self-service by automatically determining vehicle characteristics without requiring manual driver input. The server collects traveling data, analyzes driving habits, and automatically derives appropriate vehicle characteristics. This automated process eliminates the need for drivers to manually adjust settings, significantly reducing operational burden and the time required for setup while still providing personalized characteristics based on actual driving behavior.
Solution Approach 2:
The system performs preliminary action by pre-determining vehicle characteristics before the driver needs them. The server continuously collects and analyzes traveling data in the background, so when a vehicle enters a new location or environment, the appropriate characteristics are already determined and ready for immediate application. This eliminates the need for drivers to spend time on manual adjustments at the moment of need.
3Reliability
If a vehicle system uses only its own traveling data to learn characteristics, then the data accuracy for that vehicle is high, but the system cannot provide characteristics for conditions without existing data
Solution Approach 1:
The patent merges the target vehicle's traveling data with data from multiple sample vehicles to maintain reliability while expanding adaptability. The server combines datasets from various vehicles traveling in similar conditions, using this combined information to determine reliable vehicle characteristics for the target vehicle even in unfamiliar locations or environments. This approach maintains data reliability through multiple validation sources while enabling the system to handle conditions without the target vehicle's own data.
Data Source
AI summary
A vehicle system includes an information storage, an information acquirer, a vehicle characteristics extractor, and a vehicle characteristics transmitter. The information storage stores vehicle information of sample vehicles in association with the sample vehicles. The vehicle information is obtained by combining a traveling location or a traveling environment, or both, with vehicle characteristics. The information acquirer acquires vehicle information of a target vehicle and either of both of a first traveling location and a first traveling environment for which vehicle characteristics for the target vehicle are lacking. The vehicle characteristics extractor determines a sample vehicle of which vehicle information matches the vehicle information of the target vehicle and extracts vehicle characteristics of the sample vehicle corresponding to either or both of the first traveling location and the first traveling environment. The vehicle characteristics transmitter transmits the extracted vehicle characteristics to the target vehicle.