Motorcycle Indicator Canceling Using Continuous Riding Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing winker canceling devices for motorcycles struggle to accurately determine when to turn off the direction indicator due to the challenges of handling speed-dependent threshold values and distinguishing between intentional turns and inadvertent movements.
Innovation Solution
A program and device that acquire continuous traveling data from sensors over a predetermined period, using this data and reference traveling data to determine the corresponding driving operation, such as turning off the direction indicator, through a learning model that outputs the appropriate driving operation based on the input data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If instantaneous rotation speed difference is used for winker control, then response speed is improved, but measurement precision deteriorates due to threshold value changes with speed and vehicle body inclination
Solution Approach 1:
The patent applies preliminary action by acquiring rotation speed data over a predetermined period before making the determination. The determination unit integrates rotation speed differences over time rather than using instantaneous values, which allows the system to prepare sufficient data beforehand to overcome the instability of threshold-based instantaneous judgment while maintaining timely response.
Solution Approach 2:
The patent implements continuity of useful action by continuously acquiring rotation speed data over a predetermined period and using this continuous data stream for determination. This continuous data collection and integration approach replaces the discontinuous instantaneous sampling method, ensuring that the determination is based on accumulated evidence rather than isolated moments, thereby improving precision without sacrificing response speed.
2Device complexity
If threshold-based determination is used, then device complexity is reduced, but reliability deteriorates due to inadvertent movements being misidentified as turns
Solution Approach 1:
The system performs preliminary data collection over a predetermined period before making the final determination. By accumulating rotation speed data in advance and using integration to smooth out transient fluctuations, the system maintains a relatively simple control structure while significantly improving reliability in distinguishing intentional turns from inadvertent movements.
Solution Approach 2:
The determination unit continuously processes rotation speed data over time, integrating the information to form a reliable basis for decision-making. This continuous processing approach filters out transient noise and inadvertent movements while maintaining system simplicity, thereby improving reliability without adding complex decision-making layers.
Data Source
Figure 1
Figure 2(a)~2(f)
Figure 3
AI summary
To accurately control a direction indicator of a motorcycle. A program causing a computer to execute acquiring traveling data of a motorcycle that is continuously measured for a predetermined period from at least one sensor; and determining a corresponding driving operation, which is a driving operation corresponding to the traveling data, based on the traveling data and a plurality of pieces of reference traveling data that is continuous for the predetermined period and is associated with each of a plurality of driving operations of the motorcycle.