Vehicle Turn Detection Using Steering Angle and Mileage Thresholds
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Solution Overview
Problem
Existing direction change detection systems struggle to accurately distinguish between lane changes, U-turns, and turns on residential roads, leading to potential misclassification of vehicle direction changes and increased risk of accidents.
Innovation Solution
A direction change detection device equipped with a processor that acquires steered angle and mileage data, using threshold values to exclude minor turns and residential road turns from detection, thereby improving the accuracy of direction change identification and reducing false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the behavior detection device detects all direction changes including lane changes and turns, then the detection coverage is improved, but the accuracy of identifying high-risk turns deteriorates due to false positives from residential road turns and lane changes
Solution Approach 1:
The patent applies parameter changes by introducing multiple threshold parameters (steered angle threshold, mileage threshold, time threshold) to differentiate between various types of direction changes. By adjusting these parameters, the system can selectively detect only high-risk turns while excluding lane changes and residential road turns, thus resolving the contradiction between detection coverage and identification accuracy.
Solution Approach 2:
The patent segments the detection process into multiple stages: initial event detection, parameter verification (steered angle, mileage, time), and final classification. This segmentation allows the system to first capture all direction changes and then filter them through multiple criteria to identify only the high-risk turns, thereby maintaining both comprehensive detection coverage and high identification accuracy.
2Measurement precision
If the detection device uses multiple threshold conditions to filter direction changes, then the identification accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-setting the threshold values for steered angle, mileage, and time parameters. These thresholds are determined in advance based on statistical analysis of driving behavior patterns. During operation, the system only needs to compare real-time data against these pre-set thresholds without performing complex calculations, thus achieving high identification accuracy while maintaining relatively simple device complexity.
3Measurement precision
If the system excludes direction changes with short mileage or time duration, then the accuracy of detecting high-risk turns is improved, but the loss of information increases by excluding valid direction changes
Solution Approach 1:
The patent applies feedback by continuously monitoring and analyzing the distribution patterns of steered angles, mileage, and time for detected direction changes. The system uses this feedback to dynamically adjust the threshold values, ensuring that the exclusion criteria accurately distinguish between high-risk turns and other direction changes. This feedback mechanism minimizes information loss by preventing the exclusion of valid high-risk turns while filtering out false positives.
Data Source
AI summary
An on-board unit as a direction change detection device is configured to acquire a steered angle and a mileage of a vehicle at a time point at which a right turn event related to a right turn of the vehicle occurs when the right turn event occurs, and detect the right turn on condition that a maximum value of the steered angle is equal to or less than a first threshold value, and the mileage is equal to or greater than a second threshold value.