Terrain Classification System for Acoustic Stealth Routing
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Solution Overview
Problem
Traditional route determination systems for vehicles do not consider the acoustic signature of the vehicle when navigating, which can be problematic, especially for military applications where minimizing noise is crucial to maintaining stealth.
Innovation Solution
A terrain classification system that uses sensors to scan the surrounding terrain, classify the environment, and create an acoustic cost map to determine the expected acoustic signature, allowing the vehicle to select a route that minimizes its acoustic footprint.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional route determination systems are used, then route planning is simple and quick, but the vehicle's acoustic signature is not considered, compromising stealth capabilities
Solution Approach 1:
The system performs preliminary terrain classification and acoustic signature prediction before route selection. The processing circuit classifies terrain types and evaluates acoustic data in advance to create acoustic cost maps, which then guide route determination. This preliminary analysis enables stealth-optimized routing without compromising speed.
Solution Approach 2:
The patent introduces an acoustic cost map as an intermediary data structure between terrain classification and route determination. This intermediary layer integrates acoustic signatures, terrain characteristics, and route options to produce optimized paths that minimize acoustic exposure, resolving the contradiction between simplicity and stealth capability.
2Object-generated harmful factors
If the vehicle traverses terrain that minimizes acoustic signature, then stealth is improved, but the route may be less direct or require more careful navigation
Solution Approach 1:
The system changes the parameters of route selection by incorporating acoustic cost as a new optimization criterion. Instead of solely minimizing distance or time, the processing circuit evaluates multiple parameters including terrain type, vehicle speed, and acoustic signature to determine optimal routes that balance stealth with navigational feasibility.
Solution Approach 2:
The route determination system dynamically adjusts navigation parameters based on real-time terrain classification and acoustic cost maps. The system can modify speed, steering commands, and route selection on-the-fly to minimize acoustic disturbances while maintaining operational ease through adaptive control.
3Measurement precision
If acoustic data evaluation is performed for every terrain type, then acoustic signature accuracy is improved, but processing time increases
Solution Approach 1:
The system segments the terrain into distinct classification categories (e.g., pavement, gravel, sand, vegetation) and pre-evaluates acoustic data for each segment. This segmentation allows the processing circuit to efficiently retrieve and apply pre-computed acoustic signatures for each terrain type, improving accuracy without excessive processing time.
Solution Approach 2:
Acoustic data evaluation is performed preliminarily during terrain classification rather than in real-time during vehicle movement. The processing circuit pre-processes acoustic characteristics for different terrain types and stores them in acoustic cost maps, enabling quick retrieval during actual route navigation and reducing processing time.
Data Source
AI summary
A terrain classification system for a vehicle includes a sensor positioned to scan a surrounding terrain, the sensor providing a sensor signal representative of returns from scanning the surrounding terrain. The terrain classification system also includes a processing circuit configured to receive the sensor signal, classify the surrounding terrain using the sensor signal, evaluate a library of acoustic data to determine an expected acoustic signature that corresponds to the classified surrounding terrain, and create an acoustic cost map with the expected acoustic signature.