Vehicle Honk Direction Detection Using Phase Difference Maps
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Solution Overview
Problem
Current methods are unable to effectively determine the direction and location of a vehicle honk, which can lead to increased risk of collisions and congestion, as they lack the necessary technology to accurately detect and visualize the source of the sound.
Innovation Solution
A system utilizing three microphones installed in a vehicle, which generate and use phase difference maps based on sound wave frequencies to calculate the location of the honking vehicle by measuring phase differences and subtracting these from stored maps to identify the source within a grid area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods are used to detect vehicle honks, then the system is simple, but the direction and location of the honk cannot be determined
Solution Approach 1:
The system divides the detection area into a grid of cells and uses three separate microphone pairs to measure phase differences in different directions. Each microphone pair focuses on detecting sound sources from specific spatial segments, allowing the system to pinpoint the honk location by combining measurements from all segments.
Solution Approach 2:
The patent introduces phase difference maps as an intermediary computational tool. These maps pre-calculated phase difference patterns for each grid cell serve as reference data, enabling the system to match measured phase differences with expected patterns to identify the honk source location without requiring complex real-time calculations.
2Reliability
If no detection system is used, then the device complexity is low, but the likelihood of collisions and congestion increases
Solution Approach 1:
The system processes and analyzes the sound data itself using onboard microphones and processors to generate location information. This self-contained approach eliminates the need for external infrastructure or additional vehicles, making the reliability improvement achievable through the vehicle's own resources.
Solution Approach 2:
The patent replaces the need for visual detection or complex sensor arrays with an acoustic-based system using microphones and phase difference analysis. This substitution uses sound wave properties instead of mechanical or optical systems, achieving reliable honk detection with relatively simple components.
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
This system allows for accurate detection and visualization of the honk direction and location, reducing the likelihood of collisions and congestion by providing drivers with critical information about the source of the honk.
Implementation Method 1
A processor measures first, second, and third phase differences between the sound waves received from the source by the first and second microphones, the second and third microphones, and the third and first microphones
Data Source
AI summary
A system includes first, second, and third microphones configured to receive sound waves from a source of the sound waves. The system includes a memory configured to store first, second, and third phase difference maps for the first and second microphones, the second and third microphones, and the third and first microphones. The system includes a processor configured to measure first, second, and third phase differences between the sound waves received from the source by the first and second microphones, the second and third microphones, and the third and first microphones; receive the first, second, and third phase difference maps from the memory; and identify a location of the source of the sound waves based on the first, second, and third phase differences and the first, second, and third phase difference maps for the first and second microphones, the second and third microphones, and the third and first microphones.