Motorcycle Turn Radius Prediction for Low-Speed Maneuver Guidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a growing need for an automated method to accurately calculate the turning radius of a motorcycle, which is crucial for low-speed maneuvers like parking and U-turns, considering factors such as wheelbase, speed, and road conditions.
Innovation Solution
A system and method that uses machine learning to predict the motorcycle turn radius by collecting and analyzing driving samples, environmental information, and telematics data, generating a geometric representation of turns, clustering conditions, and displaying projected trajectories to the driver, including alerts for potential obstacles or non-drivable areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated calculation of turning radius is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system integrates multiple functions into a single automated calculation platform that processes wheelbase data, speed information, road condition data, and driver input to comprehensively determine turning radius. This multi-functional approach improves measurement precision while consolidating system complexity into one unified device rather than multiple separate systems.
Solution Approach 2:
The patent replaces manual measurement and calculation methods with an automated electronic calculation system that uses machine learning models and processed data from sensors. This substitution of mechanical/manual operations with automated computational processes enhances measurement precision while the system manages complexity through algorithmic processing rather than physical complexity.
2Measurement precision
If multiple factors are considered in turning radius calculation, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically collects and processes data from multiple sources including wheelbase measurements, speed sensors, road condition detectors, and driver inputs without requiring manual intervention for each parameter. The automated calculation engine independently processes all these factors to determine turning radius, improving precision while maintaining ease of operation through self-service data collection and processing.
Solution Approach 2:
The system performs preliminary data collection and processing by pre-gathering wheelbase information, speed data, and road condition information before the actual turning maneuver. This preliminary preparation of multiple factors allows the system to quickly calculate turning radius during the actual operation, improving both precision and ease of use by avoiding last-minute complex measurements.
3Reliability
If speed and road conditions are included in calculation, then reliability is improved, but device complexity increases
Solution Approach 1:
The calculation system is designed to universally process multiple types of input data including wheelbase measurements, speed information, and road condition parameters. This multi-functional capability allows the system to reliably account for various factors affecting turning radius while consolidating the complexity into a single integrated calculation platform that handles diverse inputs through unified processing logic.
Data Source
AI summary
A method for providing a prediction of a radius of a motorcycle turn, the method may include determining that the motorcycle is about to turn; predicting values of multiple radius of turn impacting (RTI) parameters; wherein the multiple RTI parameters are selected out of a group of parameters, wherein the selection was made during a machine learning training process, and the group of parameters comprises motorcycle kinematic parameters; determining, based on the determined values of the multiple RTI parameters, the estimated radius of the motorcycle turn; and performing a driving related operation based on the estimated radius of the motorcycle turn.