Vehicle Audio Source Localization for Collision Avoidance
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Solution Overview
Problem
Autonomous vehicles face challenges in predicting complex and unexpected driving scenarios, particularly in determining the need for intervention to avoid collisions, due to limitations in sensing and processing environmental parameters.
Innovation Solution
A system that uses audio data from acoustic sources to determine their direction, proximity, and potential impact on the vehicle's path, allowing for real-time adjustments in driving maneuvers, such as changing velocity or direction, by processing audio data with pre-programmed models and sensor fusion to enhance safety and redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicle systems rely on traditional sensors and pre-programmed maneuvers, then basic driving functions can be performed, but the system cannot predict complex and unexpected driving scenarios or determine when intervention is required to avoid collisions
Solution Approach 1:
The audio signal processing is segmented into multiple stages: initial audio data acquisition, direction determination, range calculation, urgency estimation, and control intervention. This segmentation allows the system to handle complex scenarios systematically by breaking down the detection and response process into manageable steps, improving reliability in unexpected situations.
Solution Approach 2:
The system adds an acoustic dimension to the traditional visual and sensor-based autonomous driving system. By incorporating audio data from microphones and processing it through direction determination and range calculation, the system gains another sensory dimension to detect and respond to environmental events, enhancing adaptability to unexpected scenarios.
2Measurement precision
If the system processes audio data from multiple directions and performs comprehensive analysis, then detection accuracy improves, but computational complexity and processing time increase
Solution Approach 1:
The system performs preliminary action by determining the direction of acoustic sources before calculating ranges and assessing urgency. The pre-programmed driving maneuvers provide a baseline that is adjusted based on audio detection results. This preliminary structuring of processing steps reduces overall computational complexity by establishing a clear processing hierarchy.
Solution Approach 2:
The system dynamically adjusts processing based on detected events. When acoustic sources are detected within the driving path, the system activates additional processing steps (range determination, urgency estimation). When no critical events are detected, the system operates with simpler pre-programmed maneuvers, reducing average computational complexity while maintaining high precision when needed.
3Reliability
If the system continuously monitors audio environment and performs real-time analysis, then safety is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic action by continuously monitoring audio data through microphones but performing comprehensive analysis only when events are detected or at scheduled intervals. The processor alternates between low-power listening mode and high-power analysis mode, maintaining safety monitoring capability while reducing average energy consumption compared to continuous full-analysis operation.
Data Source
AI summary
Methods and systems are provided for adapting a driving condition of a vehicle. The system includes a non-transitory computer readable medium having stored thereon a pre-programmed driving maneuver of the vehicle. The system also includes a processor configured to obtain audio data of acoustic sources in the environment of the vehicle. The processor is further configured to determine a receiving direction of the acoustic source based on the audio data. The processor is further configured to determine whether the acoustic source are located within the maneuver of the vehicle based on the pre-programmed or updated driving maneuvers and the determined receiving direction of the acoustic source. Furthermore, the processor is configured to determine a range between the vehicle and the acoustic source in order to determine that the acoustic source is located within the driving path of the vehicle.