Lean Vehicle Image Conversion for Faster Rider Assistance
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Solution Overview
Problem
Conventional assistance systems for lean vehicles experience delays in rider assistance operations due to the need for rotational conversion of imaging data, which involves time-consuming calculations of sines and cosines, especially when the vehicle is tilted, leading to increased calculation amounts and unnecessary area conversion.
Innovation Solution
An image data generator that includes an input section for receiving imaging data, a movement conversion section to adjust the data in the up-down direction, and a rotational conversion section to generate second image data used for assistance, reducing the calculation burden by focusing on necessary areas and using pre-calculated sine and cosine values from a stored table.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If rotational conversion of imaging data is performed when the vehicle is tilted, then the assistance system can accurately detect surrounding environment, but calculation time increases due to sine and cosine computations
Solution Approach 1:
The patent pre-calculates and stores sine and cosine values in a lookup table before the vehicle is tilted. When tilt occurs, the system retrieves pre-computed values instead of calculating sines and cosines in real-time, significantly reducing calculation time while maintaining detection accuracy
Solution Approach 2:
The patent applies movement conversion selectively to only the necessary portions of imaging data (the area required to determine drive assistance necessity) rather than converting the entire image. This localized approach reduces the amount of data requiring rotational conversion and minimizes calculation time
2Area of stationary object
If imaging device with large imaging range is used to maintain imaging area during pitch, then the required area can be imaged, but calculation amount increases due to larger data set
Solution Approach 1:
The patent applies movement conversion selectively to only the necessary portions of imaging data (the area required to determine drive assistance necessity) rather than converting the entire image. This localized approach reduces the amount of data requiring rotational conversion and minimizes calculation time
Solution Approach 2:
The patent extracts and processes only the relevant portion of the imaging data that is necessary for determining drive assistance necessity. By separating the essential area from the rest of the image data, the system reduces calculation load while maintaining the required imaging area for safety decisions
3Loss of information
If rotational conversion is performed on entire imaging data, then complete surrounding environment is analyzed, but unnecessary area conversion increases processing time
Solution Approach 1:
The patent applies movement conversion selectively to only the necessary portions of imaging data (the area required to determine drive assistance necessity) rather than converting the entire image. This localized approach reduces the amount of data requiring rotational conversion and minimizes calculation time
Solution Approach 2:
The patent extracts and processes only the relevant portion of the imaging data that is necessary for determining drive assistance necessity. By separating the essential area from the rest of the image data, the system reduces calculation load while maintaining detection completeness for safety-critical regions
Data Source
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AI summary
An image data generator used in an assistance system that assists with driving by a rider of a lean vehicle is obtained. The image data generator can suppress a delay in initiation of rider assistance operation in an assistance system in comparison with a conventional assistance system. The image data generator is an image data generator used in the assistance system that assists with driving by the rider of the lean vehicle, and includes: an input section receiving imaging data of an imaging device that detects surrounding environment of the lean vehicle; a movement conversion section calculating first image data by subjecting the imaging data to movement conversion at least in an up-down direction; and a rotational conversion section calculating second image data by rotationally converting the first image data.