Lean Vehicle Image Processing for Faster Rider Assistance
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Solution Overview
Problem
Conventional assistance systems for lean vehicles experience delays in initiating rider assistance operations due to the need to rotate large imaging data, which involves time-consuming calculations of sines and cosines, caused by the tilting of the vehicle body during turns, leading to inefficient use of imaging data.
Innovation Solution
The image data generator shifts imaging data vertically and then rotates it to generate first and second image data, reducing the need for extensive rotational calculations by focusing on essential areas for assistance determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the imaging device generates large imaging data to maintain center accuracy when pitch occurs, then the imaging data is large enough to determine drive assistance requirement, but the calculation steps increase and delay in initiation of rider assistance operation increases
Solution Approach 1:
The patent divides the image processing into two distinct stages: first shifting the imaging data vertically to correct pitch, then rotating only the shifted data to correct lean. This segmentation of processing steps allows each operation to work on optimized data, reducing the overall computational burden compared to rotating the full original image data
Solution Approach 2:
The patent performs the vertical shift operation before the rotation operation. By preliminarily correcting the pitch-induced vertical displacement, the subsequent rotation operation works on already partially corrected data, reducing the complexity and calculation steps required for the final orientation correction
2Area of stationary object
If the imaging device generates large imaging data to account for pitch shift, then the imaging data covers the necessary area for assistance determination, but the excess area increases calculation steps and processing time
Solution Approach 1:
The patent extracts and removes the excess area from the imaging data by performing vertical shifting before rotation. This extraction of unnecessary portions reduces the data volume that requires complex rotational calculations, thereby improving processing efficiency while maintaining the necessary coverage for assistance determination
Solution Approach 2:
Instead of processing the entire large imaging data set through both shift and rotate operations, the patent applies partial action by first shifting vertically to correct pitch, then rotating only the shifted portion. This partial processing approach reduces computational load compared to applying full rotation to the complete original image
3Ease of operation
If conventional assistance systems rotate the original imaging data directly, then the imaging data can be used for assistance determination, but the calculation steps involving sine and cosine take much time
Solution Approach 1:
The patent performs preliminary vertical shifting of the imaging data before applying rotation. This preliminary action simplifies the subsequent rotation operation by reducing the angular complexity, thereby decreasing the computational time required for sine and cosine calculations while maintaining the ability to perform assistance determination
Solution Approach 2:
The patent segments the complex rotation operation into two simpler sequential operations: vertical shifting followed by rotation. This segmentation transforms a single complex calculation into two simpler steps, reducing the overall computational burden and processing time
Data Source
AI summary
An image data generator is for an assistance system. The assistance assists a driver with driving a lean vehicle. The image data generator can suppress a delay in initiation of rider assistance operation in an assistance system in comparison with conventional assistance systems.The image data generator has an input section, a first data generating section, and a second data generating section. The input section receives an imaging data from an imaging device. The imaging device detects an environment around the lean vehicle. The first data generating section generates a first image data by shifting the imaging data in a vertical direction. The second data generating section generates a second image data by rotating the first image data.