Leaning Vehicle Information Control for Real-Time Skill Evaluation
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Solution Overview
Problem
The existing leaning-vehicle-real-time-information-presentation-control apparatus faces a high data processing load, which affects hardware processing capacity, and struggles to enhance the recognition rate of information presented to riders with a narrow effective visual field during traveling, as it does not effectively account for minute changes in driving skill evaluation.
Innovation Solution
The apparatus sets an individual driving skill criterion based on the rider's own traveling data, using a configuration that includes an individual-driving-skill-criterion setter, an individual-driving-skill-evaluation-result creator, and an output controller to present evaluation results to auditory, tactile, or vision devices, reducing data processing load and enhancing recognition of driving skill improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time data processing is performed to present evaluation results during traveling, then the recognition rate of information is improved, but the data processing load increases
Solution Approach 1:
The system performs preliminary actions by storing multiple types of traveling data (operation input data, vehicle state data, evaluation result data) before they are needed for real-time presentation. This pre-storing of data allows the system to quickly retrieve and present relevant information during traveling without performing heavy real-time processing, thus improving recognition rate while controlling processing load.
Solution Approach 2:
The system segments the data processing task by dividing traveling data into multiple types (operation input data, vehicle state data, evaluation result data) and storing them separately. This segmentation allows the system to efficiently retrieve only the specific data needed for real-time presentation rather than processing all data, reducing the overall processing load while maintaining high recognition rate.
2Productivity
If hardware with high processing capacity is used to perform real-time data processing, then the data processing load capacity is improved, but the device complexity and cost increase
Solution Approach 1:
The system performs preliminary data collection and storage during traveling, organizing data into multiple types before they are needed for presentation. This pre-processing approach allows the use of simpler hardware with lower processing capacity, as the heavy data organization work is done in advance rather than requiring high-performance real-time processing hardware.
3Loss of time
If information is presented during turning periods to enhance recognition rate, then the information delivery timeliness is improved, but the data processing complexity increases
Solution Approach 1:
The system performs preliminary action by storing evaluation result data in advance during traveling periods. This pre-stored data can be quickly presented during turning periods without requiring complex real-time analysis, thus improving information delivery timeliness while keeping control complexity manageable.
Solution Approach 2:
The system dynamically adjusts the presentation timing based on the vehicle state (traveling vs. turning). By detecting when the vehicle is turning and presenting pre-prepared evaluation results during these periods, the system optimizes information delivery timeliness without requiring complex real-time processing during the turning maneuver itself.
Data Source
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AI summary
A recognition rate of an evaluation result of a driving skill presented during traveling of a leaning vehicle is enhanced with suppression of an increase in a hardware processing capacity by reducing a data processing load. A leaning-vehicle-real-time-information-presentation-control apparatus 20 includes: a vehicle state detector 21; a turning motion determiner 22 configured to determine whether a leaning vehicle 1 is turning or not based on a detection result of the vehicle state detector 21; an individual-driving-skill-criterion setter 23 configured to create an individual-driving-skill criterion during turning of the leaning vehicle 1; an individual-driving-skill-evaluation-result creator 24 configured to evaluate evaluation-individual-traveling data based on an individual-driving-skill criterion during turning of the leaning vehicle 1 and to create an individual-driving-skill-evaluation result during traveling of the leaning vehicle 1; and an output controller 25 configured to output the individual-driving-skill-evaluation result to at least one of an auditory device, a tactile device, or a vision device during traveling of the leaning vehicle 1.