Drift Assessment Device Speed-Based Detection Switching
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Solution Overview
Problem
Existing drift-assessment devices face challenges in accurately determining vehicle drift across various speed ranges due to the limitations of image recognition and steering angle detection methods, leading to reduced energy efficiency and accuracy.
Innovation Solution
A drift-assessment device that selectively uses either an image recognition and detection unit or a turn information detection unit based on vehicle speed, determining drift with high accuracy and energy efficiency by employing a vehicle speed detection unit to switch between these methods at a predetermined speed threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image recognition and detection means is used to determine drift, then drift determination accuracy is improved for high-speed travel, but the method becomes inapplicable for low-speed travel where lanes are intermittently provided or absent
Solution Approach 1:
The patent dynamically switches between image recognition-based drift determination and steering angle-based drift determination according to vehicle speed. At high speeds (≥ predetermined threshold), image recognition is used for accurate drift measurement. At low speeds (< predetermined threshold), steering angle detection is used instead. This dynamic adaptation resolves the contradiction by making the system versatile across different speed ranges while maintaining measurement precision in each range.
Solution Approach 2:
The patent changes the detection parameter based on vehicle speed conditions. For high-speed travel, it uses lateral position relative to lane (image recognition). For low-speed travel, it uses steering angle. This parameter switching enables the system to adapt to different driving conditions, resolving the contradiction between measurement accuracy and adaptability across speed ranges.
2Adaptability or versatility
If turn information detection unit is used to determine drift, then drift determination is feasible for low-speed travel, but accuracy is reduced for high-speed travel due to reduced steering angles
Solution Approach 1:
The system dynamically selects the detection method based on vehicle speed. Turn information detection is activated only when vehicle speed is below the predetermined threshold, where it provides sufficient measurement precision. When speed exceeds the threshold, the system switches to image recognition. This dynamic selection resolves the contradiction by optimizing both adaptability and precision for each speed range.
Solution Approach 2:
The patent changes the detection parameter from steering angle (for low speed) to lateral position (for high speed). This parameter adaptation ensures that the system uses the most appropriate measurement approach for each operating condition, resolving the contradiction between versatility and measurement precision.
3Adaptability or versatility
If two detection means are constantly operated to ensure drift determination capability, then coverage across all speed ranges is improved, but energy efficiency is reduced
Solution Approach 1:
The patent implements periodic switching between detection methods based on vehicle speed conditions. Instead of constantly operating both detection means, the system periodically evaluates the current speed and switches between image recognition and turn information detection. This periodic action maintains full operational coverage while significantly reducing energy consumption compared to continuous dual-operation.
Solution Approach 2:
The patent extracts and activates only the necessary detection method based on current operating conditions. When vehicle speed indicates high-speed travel, only image recognition is activated. When low-speed travel is detected, only turn information detection is activated. This selective extraction of the needed function maintains versatility while eliminating the energy waste of operating both systems simultaneously.
Data Source
AI summary
A drift-assessment device includes a turn information detection unit that detects turn information of a vehicle, an image recognition and detection unit that detects position information of the vehicle relative to a lane, a vehicle speed detection unit that detects a vehicle speed, a selection unit that selects the image recognition and detection unit when the vehicle speed is equal to or greater than a predetermined vehicle speed and selects the turn information detection unit when the vehicle speed is less than the predetermined vehicle speed, and a drift-assessment unit that determines the drift of the vehicle based on the position information of the vehicle relative to the lane when the selection unit selects the image recognition and detection unit and determines the drift of the vehicle based on the turn information of the vehicle when the selection unit selects the turn information detection unit.