Acoustic Object Fingerprinting for Occluded Autonomous Navigation
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Solution Overview
Problem
Traditional algorithms for route selection in vehicle navigation are impractical due to complexity and can be hindered by sensor malfunctions or obstructions like parked vehicles, construction zones, and pedestrians, making it difficult to accurately navigate through road networks.
Innovation Solution
The use of acoustic sensors to receive and process acoustic waves, generating acoustic fingerprints for object identification and tracking, allowing autonomous vehicles to determine object characteristics and avoid collisions, even when electromagnetic radiation sensors are occluded.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional sensors are used for navigation, then route selection can be performed, but sensor blockage or malfunction occurs making navigation difficult
Solution Approach 1:
The patent introduces acoustic waves as an intermediary medium for detection. Acoustic sensors receive sound waves reflected from objects to determine object characteristics, serving as a mediator when electromagnetic sensors are blocked. This allows the vehicle to detect objects through occlusions that block traditional electromagnetic radiation sensors.
Solution Approach 2:
The patent makes the acoustic sensing system perform multiple functions: detecting objects in blind spots, identifying object characteristics through acoustic fingerprints, and providing navigation data when primary sensors fail. This multi-functionality reduces dependence on any single sensor type and improves overall system reliability.
2Difficulty of detecting and measuring
If acoustic sensors are added to detect occluded objects, then detection capability in blind spots improves, but device complexity increases
Solution Approach 1:
The patent replaces electromagnetic radiation-based detection with acoustic wave-based detection for certain functions. Acoustic sensors detect sound waves reflected from objects, providing detection capability in scenarios where electromagnetic sensors fail, such as when objects occlude the vehicle or are in blind spots.
Solution Approach 2:
Acoustic waves serve as an intermediary detection mechanism. The system receives acoustic waves from objects, processes them to generate acoustic fingerprints, and uses these to identify object characteristics. This intermediary approach enables detection when direct electromagnetic sensing is blocked.
3Productivity
If traditional route selection algorithms are used, then navigation can be performed, but the algorithms become impractical due to complexity
Solution Approach 1:
The patent extracts only the essential acoustic features from complex acoustic wave data to create acoustic fingerprints. By focusing on key characteristics rather than processing all raw sensor data, the system achieves practical route selection without requiring overly complex algorithms.
Solution Approach 2:
The patent transforms acoustic wave data into acoustic fingerprints by changing the parameter representation. Instead of working with raw acoustic waveforms, the system extracts and processes specific acoustic parameters to create simplified representations that enable efficient object identification and navigation decisions.
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
This approach enhances navigation safety by reducing collisions, improving maneuvering, and enabling the detection of objects in blind spots or occluded areas, while also reducing fuel consumption and driving time.
Implementation Method 1
one or more acoustic sensors of the vehicle are used to receive acoustic waves from one or more objects
Data Source
AI summary
Techniques for autonomous vehicle operation using acoustic modalities include using one or more acoustic sensors of a vehicle to receive acoustic waves from one or more objects. The acoustic waves have multiple wavelengths. The acoustic waves are clustered into one or more acoustic clusters based on the plurality of wavelengths. A particular acoustic cluster of the one or more acoustic clusters is selected based on signal processing of the one or more acoustic clusters. A particular object is associated with the particular acoustic cluster. An acoustic fingerprint of the particular object is generated based on the particular acoustic cluster. Characteristics of the particular object are determined based on the acoustic fingerprint of the particular object. A control circuit of the vehicle is used to operate the vehicle to avoid a collision with the particular object based on the characteristics of the particular object.