Autonomous Vehicle Emergency Response via Audio-Visual Fusion
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Solution Overview
Problem
Existing autonomous driving systems are insufficient in detecting and responding to emergency vehicles, especially when there is an obstructed view or lack of surrounding vehicles, which can lead to non-compliance with traffic regulations.
Innovation Solution
An automated driving system that utilizes a perception system with both image and audio recording capabilities to detect emergency vehicles operating in emergency mode, determine their location, and send commands to vehicle systems (steering and braking) to comply with traffic regulations, even in scenarios with obstructed views.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous vehicles rely on visual detection of emergency vehicles, then detection accuracy is improved when the emergency vehicle is visible, but detection reliability deteriorates when the view is obstructed
Solution Approach 1:
The patent combines multiple detection modalities (visual imaging system and acoustic sensor system) into a unified emergency vehicle detection system. The computing device processes both image data and audio data together, merging the strengths of each modality to achieve reliable detection even when one modality is compromised by environmental conditions such as obstructions.
Solution Approach 2:
The perception system is designed with multi-functional capabilities, using the same computing device and processing infrastructure to handle both visual and acoustic detection tasks. This universal approach allows the system to adapt to different detection scenarios and maintain reliability across varying environmental conditions.
2Device complexity
If autonomous vehicles use only image-based detection, then the system complexity is reduced, but the adaptability to different detection scenarios deteriorates
Solution Approach 1:
The perception system employs a universal computing device that handles both image processing and audio processing functions, allowing the system to adapt to different detection scenarios without requiring entirely separate processing architectures for each modality.
Solution Approach 2:
The system dynamically selects and weights different detection modalities based on the current operational context and environmental conditions. The computing device can adjust its processing focus between visual and acoustic data depending on which modality provides more reliable information in the current scenario.
3Reliability
If the autonomous vehicle responds to all detected emergency vehicles, then compliance with traffic regulations is improved, but false compliance actions increase due to incorrect detections
Solution Approach 1:
The system employs feedback mechanisms where the computing device continuously monitors detection results from both visual and acoustic modalities, cross-validating information to confirm emergency vehicle presence before triggering compliance actions. This feedback loop reduces false detections by requiring corroboration from multiple detection channels.
Solution Approach 2:
The system performs preliminary analysis and cross-validation of detection data before executing compliance actions. The computing device processes and verifies detection results from multiple modalities to confirm the presence and status of emergency vehicles, ensuring that compliance actions are based on accurate detections rather than false positives.
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
Ensures safe operation by accurately detecting and responding to emergency vehicles, maintaining compliance with traffic regulations even in challenging visibility conditions, thereby enhancing safety and reducing the risk of disrupting emergency vehicle passage.
Implementation Method 1
detect, based on an audio recording captured by the perception system, an emergency vehicle operating in an emergency mode
Implementation Method 2
capture, using the perception system, an image of an environment surrounding the autonomous vehicle
Data Source
AI summary
An automated driving system and methods are disclosed. The automated driving system includes a perception system disposed on an autonomous vehicle. The automated driving system can detect, based on an audio recording captured by the perception system, an emergency vehicle operating in an emergency mode. After detection, an image of the environment surrounding the autonomous vehicle can be captured by the perception system. Based on at least one of the audio recording and the image of the environment surrounding the autonomous vehicle, a location of the emergency vehicle in respect to the autonomous vehicle can be determined. If the location of the emergency vehicle is such that the autonomous vehicle is required to comply with a traffic regulation, the automated driving system can send a command to one or more vehicle systems of the autonomous vehicle to implement one or more maneuvers to comply with the traffic regulation.