Racing Pace Note Generation via 3D Track Modeling
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Solution Overview
Problem
Existing systems for generating pace notes for racing drivers require actual track driving at full speed, limiting data collection and resulting in pace notes that are specific to a particular trajectory and driver style, with no efficient way to generate notes for alternative trajectories or styles without additional data collection.
Innovation Solution
A computer-assisted method and system that creates a three-dimensional model of the track, allowing for the extraction of geometric properties and all possible vehicle trajectories, enabling the generation of pace notes independent of actual driving, with the ability to adapt to different driving styles and trajectories through machine computational power and specific algorithms, using 3D laser scanning and image recording.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pace notes are generated by actual track driving at full speed, then the pace notes reflect real driving conditions and driver style, but the system is limited to a single trajectory and requires additional data collection for alternative trajectories
Solution Approach 1:
The patent creates a three-dimensional digital model (copy) of the track that replicates the physical track's geometric properties. This digital model can be processed computationally to generate pace notes for multiple trajectories without additional physical driving, resolving the contradiction between measurement precision and adaptability
Solution Approach 2:
The patent performs preliminary data collection by scanning the track to create a comprehensive three-dimensional model before pace note generation. This preliminary action captures all geometric information needed for any trajectory, eliminating the need for additional data collection when exploring alternative trajectories
2Adaptability or versatility
If multiple trajectories are explored through additional data collection, then more pace note options are available, but the time and resources required increase significantly
Solution Approach 1:
The three-dimensional track model serves multiple functions: it enables pace note generation for any trajectory, allows computational analysis of geometric properties, and supports exploration of different driving styles. This single universal model replaces the need for separate data collection campaigns for each trajectory
Solution Approach 2:
The patent replaces the mechanical process of physical track driving and manual note-taking with computational processing of the three-dimensional model. Algorithms automatically analyze the model to extract geometric properties and generate pace notes, dramatically reducing time and resource requirements
3Reliability
If pace notes are generated without actual track driving, then safety and efficiency improve, but the system requires sophisticated 3D modeling and computational algorithms
Solution Approach 1:
The three-dimensional track model acts as an intermediary between the physical track and the pace note generation process. It captures the essential geometric information needed for safe pace note creation while eliminating the need for dangerous full-speed test driving, achieving safety through computational mediation
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the generation of accurate and adaptable pace notes for any track, allowing drivers to choose trajectories and styles without actual track driving, providing a safer and more efficient training and competition experience by simulating full-speed driving and incorporating individualized and composite driving templates.
Implementation Method 1
a laser scanning device (1), which is arranged to generate a data set comprising three dimensional geometric data representing a track
Implementation Method 2
A computer-assisted method and system that creates a three-dimensional model of the track, allowing for the extraction of geometric properties
Data Source
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Figure 6~7
AI summary
A method of generating a driving support product for a racing driver, comprising: - generating a data set comprising three dimensional geometric data representing a track, by scanning a ground area including the track and surroundings thereof; - estimating track properties by analyzing the data set, and generating corresponding track property data; - generating a template for pace note generation during a learning phase, including receiving at least one set of externally generated pace notes of a learning track, and matching the externally generated pace notes of the learning track with track property data of the learning track; and - generating a driving support product comprising a set of pace notes for the track, by applying the template to the track property data.