Racing Coach Path Segmentation for Faster Lap Guidance
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Solution Overview
Problem
Conventional driving analysis devices fail to provide effective feedback for improving vehicle racing performance by determining an optimal path of travel that considers various factors such as lateral position, velocity, acceleration, and steering input, which are crucial for minimizing lap times in vehicle racing.
Innovation Solution
A racing coach device equipped with a memory, processing element, and output device that analyzes previous laps to determine an optimal path of travel by identifying the shortest duration paths at each geolocation along the racetrack, providing real-time and post-race feedback to the driver through a display and audio output, using GPS, cameras, and motion sensors to assess performance and suggest improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional driving analysis devices simply provide lap times or compare track logs to reference performances, then the device complexity is low, but the measurement precision and usefulness of performance feedback is insufficient
Solution Approach 1:
The patent segments the racetrack into multiple geofenced locations and divides the path of travel into discrete segments. By analyzing each segment individually and identifying the optimal path segment by segment, the system achieves comprehensive performance analysis without requiring overly complex holistic processing. This segmentation approach enables precise measurement of performance at each location while maintaining manageable device complexity.
Solution Approach 2:
The patent introduces a processing element as an intermediary that receives data from multiple sensors (GPS, accelerometers, gyroscopes), processes this data through sophisticated algorithms, and generates actionable feedback. This intermediary processing layer enables high measurement precision by thoroughly analyzing multiple parameters while shielding the user from the underlying complexity of the analysis system.
2Adaptability or versatility
If the device provides comprehensive real-time feedback on multiple driving parameters, then the usefulness of feedback is improved, but the device complexity increases
Solution Approach 1:
The racing coach device is designed as a multi-functional system that simultaneously provides real-time feedback on multiple parameters including lateral position, velocity, acceleration, steering input, and optimal path determination. By consolidating these diverse functions into a single device with a universal processing architecture, the system achieves high feedback versatility while managing complexity through integrated design rather than separate specialized components.
Solution Approach 2:
The system implements continuous feedback loops that monitor multiple driving parameters in real-time and provide actionable recommendations to the driver. This feedback mechanism enhances adaptability by allowing the device to respond dynamically to changing driving conditions and provide versatile guidance across different track locations and driving scenarios, while the feedback processing is optimized to maintain reasonable device complexity.
3Productivity
If the device determines optimal path by analyzing multiple factors at each geolocation, then the productivity of performance improvement is improved, but the use of energy increases
Solution Approach 1:
The system performs preliminary analysis by pre-defining geofenced locations and path segments along the racetrack before the driving activity begins. During the actual drive, the processing element only needs to determine which pre-defined segment the vehicle is currently in and compare actual performance against the optimal path for that segment. This preliminary structuring enables efficient real-time performance improvement analysis while significantly reducing energy consumption during the driving activity.
4Measurement precision
If the device provides detailed segment-by-segment path analysis, then the measurement precision of performance metrics is improved, but the loss of time for data processing increases
Solution Approach 1:
By segmenting the track into pre-defined geofenced locations and path segments, the system enables precise measurement of performance at each location while minimizing processing time. The segmentation allows the processing element to focus analysis on specific segments rather than processing the entire track continuously, achieving high measurement precision for each segment with reduced overall processing time.
Solution Approach 2:
The system performs preliminary setup by defining all geofenced locations and optimal path segments before the driving activity. During the actual drive, the system only needs to identify which pre-defined segment the vehicle is in and retrieve the corresponding optimal path data, significantly reducing real-time processing time while maintaining high measurement precision through the pre-structured segment analysis.
Data Source
AI summary
A racing coach device stores a first path of travel along a racetrack over a first time period and a second path of travel along the racetrack over a second time period. The racing coach device identifies, for each of a plurality of geolocations along the racetrack, one of the first path of travel or the second path of travel that is associated with a shorter duration of time over which the user traversed a segment of the path of travel associated with each of the plurality of geolocations. The device determines an optimal path of travel along the racetrack based on the identified first and second path of travel for each segment of the path of travel at each of the plurality of geolocations that results in a calculated lap time to traverse the racetrack that is less than the first time period and the second time period.