Ultrasonic Parking Detection Error Compensation
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Solution Overview
Problem
Current parking space detection systems using ultrasonic waves face inaccuracies due to wide reflection angles, unstable wave directions, and transmission delays, leading to errors in determining the distance to available parking spaces, resulting in inefficient parking processes and potential collisions.
Innovation Solution
A parking space detection device and method that employs ultrasonic wave distance detectors and move distance detectors to collect and process border data, using evaluation conditions and standard deviation calculations to compensate for errors, ultimately activating an automatic parking system for precise positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If ultrasonic wave detection is used to detect parking space distance, then the detection function is provided, but the detection accuracy deteriorates due to wide reflection angles, unstable wave directions, and transmission delays
Solution Approach 1:
The system performs preliminary actions by continuously collecting ultrasonic wave data before making a parking space determination. Multiple border data points are gathered and stored in advance, allowing the system to analyze trends and filter out anomalies before reaching a conclusion about parking space availability.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring ultrasonic wave reflection data and adjusting its detection algorithm based on observed patterns. The control unit analyzes the stability and consistency of returned signals, using this feedback to compensate for transmission delays and unstable wave directions, thereby improving overall detection accuracy.
2Measurement precision
If multiple border data points are collected and processed with complex calculations, then the detection accuracy is improved, but the system complexity increases
Solution Approach 1:
The system extracts only the essential features from the collected border data for analysis. Instead of processing all raw ultrasonic data points equally, the control unit identifies and extracts key boundary positions and distance measurements that are most relevant for determining parking space availability, simplifying the overall processing complexity.
Solution Approach 2:
The system creates simplified representations or copies of the complex border data for processing. By generating standardized data structures that capture the essential geometric relationships without preserving all raw measurement details, the system reduces computational complexity while maintaining detection accuracy.
3Reliability
If standard deviation calculation and error compensation are performed, then the detection reliability is improved, but the processing time increases
Solution Approach 1:
The system applies partial error compensation by performing standard deviation calculations only on critical data points or only when certain conditions are met. Rather than continuously applying full error compensation algorithms to all data, the system selectively applies processing to maintain reliability while reducing overall processing time through conditional execution.
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
The system achieves highly accurate detection of parking space positions and border positions, reducing manual parking efforts and minimizing the risk of collisions by providing a reliable automatic parking solution.
Implementation Method 1
an ultrasonic wave distance detector, provided on sides of a vehicle to detect a plurality of border data relating to distance between the vehicle and an obstacle for reverse transmission of ultrasonic waves
Data Source
AI summary
A parking space detection device and method thereof, wherein, firstly, store a plurality of border data relating to moved distance of a vehicle, and distance between vehicle and an obstacle for reverse transmission of ultrasonic waves; then determine if said border data satisfy evaluation conditions, such that it is in a first detecting parking space then obstacle state, or in a first detecting obstacle then parking space state. Wherein, in case that any of evaluation conditions is satisfied, start to calculate a first difference between each of said border data and their average, to determine if it is grater than a standard deviation; in case that answer is positive, fetch at least two data points, a first data point and a second data point, corresponding to border data, then calculate their difference to adjust weights of first data point and second data point, in obtaining a highly accurate parking space.