Vehicle Sound Field Optimization via Passenger Detection
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Solution Overview
Problem
Existing vehicle sound systems fail to provide an optimized sound field that considers the number of passengers and their seat positions, leading to auditory complaints due to inconsistent sound distribution.
Innovation Solution
A vehicle system that uses a microphone and camera to determine the boarding situation, adjusting the filter settings of multiple speakers to optimize sound output based on the number of passengers and their positions, ensuring accurate grasping of the boarding situation and personalized sound experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a consistent personalized sound field is provided without considering the boarding situation, then the sound field implementation is simple, but auditory complaints occur due to ignoring passenger number and seat positions
Solution Approach 1:
The system uses microphones to detect sound signals from passengers and cameras to capture boarding information, then processes this feedback to dynamically adjust speaker filter settings. This closed-loop feedback mechanism allows the system to adapt to actual boarding situations and provide optimized sound fields for different passenger configurations.
Solution Approach 2:
The sound field system transitions from a static, fixed configuration to a dynamic system that automatically adjusts speaker filter values based on real-time detection of passenger number and seat positions. The filter settings are dynamically modified to match the current boarding situation, optimizing sound distribution adaptively.
2Device complexity
If the boarding situation is not accurately detected, then the system operation is simple, but the sound field optimization is insufficient
Solution Approach 1:
The system merges multiple detection methods by combining microphone-based sound signal detection with camera-based visual detection. This multi-modal approach cross-validates boarding information and improves detection accuracy by comparing results from different sensing modalities.
Solution Approach 2:
The system introduces an intermediary processing layer that compares first boarding information from microphones with second boarding information from cameras. This intermediary comparison mechanism resolves discrepancies and determines the accurate boarding situation by cross-referencing multiple data sources.
Data Source
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AI summary
A vehicle according to an embodiment of the present invention may comprise: a microphone; a plurality of speakers; a memory for storing a sound field table including corresponding relationship between filter set values, virtual sound items, and boarding items; and a processor for receiving a sound signal via the microphone, determining a first filter set value matched to characteristics of the received sound signal, by using the sound field table, and controlling outputs of the plurality of speakers so as to output sound according to the determined first set value.