Vehicle Alert Detection Using In-Cabin Audio Feedback

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Solution Overview

Problem

Existing vehicle safety alert systems fail to accurately determine if alert sounds are perceivable by occupants, leading to safety concerns due to undetected speaker failures or noisy environments, which prior techniques cannot address.

Innovation Solution

An alert detection system that uses audio sensors to record acoustic sounds, compares them to a pre-recorded alert sound, and determines a score representing the likelihood of perception, triggering additional alerts if the sound is not perceived, and employs visual or haptic feedback to ensure occupant awareness.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If audio sensors and detection algorithms are implemented to verify alert sound perception, then safety and reliability are improved, but device complexity increases

Engineering Contradiction:
Improvealert system reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system implements feedback by capturing audio data from audio sensors, comparing it against expected alert sound characteristics, and using this information to determine whether the alert was successfully perceived. This closed-loop feedback mechanism verifies alert delivery and triggers additional alerts when perception is not confirmed, thereby improving reliability without requiring complex manual verification procedures

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The alert system performs self-verification by autonomously monitoring its own output through audio sensors and automatically determining whether its alert sounds are being perceived. The system serves itself by implementing the detection logic and making decisions about additional alerts without external intervention, reducing the need for additional complex monitoring infrastructure

Inventive Principle:
Principle #25Self-service

2Reliability

If multiple alert mechanisms are deployed to ensure occupant awareness, then safety is improved, but loss of time increases due to additional corrective actions

Engineering Contradiction:
Improveoccupant awarenessVSAvoidtime for corrective actions
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system employs periodic action by implementing additional alerts at specific intervals when initial alerts are determined to be unperceived. Rather than continuous alerting, the system uses time-based periodic reinforcement through additional audio alerts, visual alerts, or haptic feedback, which maintains safety while managing the time loss through structured, interval-based corrective actions rather than immediate continuous intervention

Inventive Principle:
Principle #19Periodic action

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

Enhances safety by confirming that alert sounds are perceived and taking corrective actions when they are not, thus ensuring the vehicle safety alert system operates as intended and maintains occupant awareness.

Implementation Method 1

at least one audio sensor to receive a plurality of acoustic sounds present in the vehicle

Methodology Applied
Scientific EffectAcoustic transduction:

Data Source

PatentUS20250368041A1Alert detection for vehicles
Publication Date: 2025.12.04 NIO TECH ANHUI CO LTD
  • US20250368041A1 patent drawing
  • US20250368041A1 patent drawing
  • US20250368041A1 patent drawing

AI summary

The techniques described herein relate to alert detection for vehicles. An example system for alert detection in a vehicle comprises at least one processor to execute processor-executable instructions to cause the system to trigger a start of a time window in which an alert sound is expected to be perceived by an occupant of the vehicle as a warning to the occupant, generate a signal to output the alert sound in the vehicle and in the time window, receive audio data representing a plurality of acoustic sounds present in the vehicle and in the time window, determine, using the received audio data, a score representing a likelihood the occupant perceived the alert sound as the warning, and cause generation of an alert to gain attention of the occupant when the score indicates the occupant did not perceive the alert sound as the warning.