Vehicle Audio Control via Microphone Data Analysis

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Solution Overview

Problem

Current vehicle systems lack effective methods for learning and adapting to user preferences for auxiliary components, such as audio systems, which can lead to driver distraction and inefficiencies in interacting with vehicle features, and do not fully utilize sensor data from these components to enhance safety and environmental awareness.

Innovation Solution

A system comprising a speaker, microphone, and electronic control unit (ECU) that learns user preferences by analyzing microphone data and adjusts audio settings accordingly, while also using this data to control other vehicle components and communicate with nearby vehicles to enhance safety and awareness of external conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If the vehicle provides manual control for auxiliary components, then the driver can directly adjust settings, but the driver must frequently interact with these devices causing distraction

Engineering Contradiction:
ImproveDriver interaction with auxiliary devicesVSAvoidDriver safety
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system automatically adjusts auxiliary device settings based on environmental sensor data and learned driver preferences without requiring manual intervention. The audio system self-adjusts volume and audio profiles based on detected conditions like rain, traffic, or driver speech, eliminating the need for frequent driver interaction while maintaining safety

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system continuously monitors environmental conditions through sensors and driver behavior through microphones and interaction data, then automatically adjusts settings in response. This closed-loop feedback system learns from driver preferences over time and adapts settings proactively, reducing manual adjustments while ensuring the driver's safety and comfort

Inventive Principle:
Principle #23Feedback

2Loss of information

If the vehicle collects and analyzes sensor data from auxiliary components, then environmental awareness is improved, but the system complexity increases

Engineering Contradiction:
ImproveEnvironmental awarenessVSAvoidSystem complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The system uses existing sensors and processors for multiple purposes - environmental sensing for both driver safety and auxiliary device control, microphone data for both autonomous driving and audio system adjustment. This multi-functional use of existing components improves environmental awareness without proportionally increasing system complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system combines environmental sensor data with driver preference learning and auxiliary device control into an integrated control framework. By merging these functions into a unified system that shares data and processing resources, the complexity is managed while achieving comprehensive environmental awareness and automatic adaptation

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS11190155B2Learning auxiliary feature preferences and controlling the auxiliary devices based thereon
Publication Date: 2021.11.30 TOYOTA MOTOR NORTH AMERICA INC
  • US11190155B2 patent drawing
  • US11190155B2 patent drawing
  • US11190155B2 patent drawing

AI summary

A system for audio control in a vehicle includes a speaker designed to output vehicle audio data in a cabin of the vehicle at a volume. The system further includes a microphone designed to detect microphone data in the cabin of the vehicle. The system further includes a memory designed to store an audio profile corresponding to desirable operation of the volume of the speaker. The system also includes an electronic control unit (ECU) coupled to the speaker, the microphone, and the memory and designed to control the volume of the speaker based on the detected microphone data and the audio profile.