Terrain-Sensitive Route Planning Using Surface-Penetrating Radar
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Solution Overview
Problem
Conventional navigation systems struggle to effectively plan routes for off-road conditions, as they do not account for terrain conditions and vehicle type, leading to challenges in safely and efficiently traversing unsurfaced roads and natural terrain.
Innovation Solution
The use of surface-penetrating radar (SPR) systems integrated with navigation servers to provide terrain-aware route planning. The SPR system generates subsurface images that are compared to reference images to determine terrain conditions, which are then used to assign risk scores based on vehicle type, allowing for optimal route selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional navigation techniques are used for off-road conditions, then route planning can be performed based on shortest distance or fastest travel time, but the system fails to account for terrain conditions and vehicle type, leading to unsafe or inefficient routes
Solution Approach 1:
The patent combines multiple data sources including SPR terrain data, vehicle characteristics, and route information into a unified navigation system. The server integrates terrain condition data from SPR scans with vehicle type information to compute comprehensive risk scores, merging previously separate functions into a coordinated system that evaluates both terrain and vehicle compatibility.
Solution Approach 2:
The navigation server acts as an intermediary between the SPR terrain monitoring system and the route planning function. It receives terrain condition data, processes it through risk assessment algorithms that consider vehicle type, and generates optimized routes. This intermediary layer enables complex terrain-vehicle analysis without requiring the vehicle itself to carry complex processing equipment.
2Reliability
If SPR systems are integrated for terrain-aware route planning, then route safety and suitability for specific vehicle types improve, but system complexity and data processing requirements increase
Solution Approach 1:
The patent extracts the complex terrain analysis and route optimization functions from the vehicle and places them on a separate navigation server. The vehicle only needs to provide basic SPR data and vehicle type information, while the server handles the computationally intensive tasks of terrain characterization, risk scoring, and route calculation. This extraction reduces on-vehicle complexity while maintaining sophisticated analysis capabilities.
Solution Approach 2:
The navigation server is designed as a universal platform that can handle multiple vehicle types and various terrain conditions through a single integrated system. Rather than requiring specialized navigation equipment for each vehicle type, the server adapts its risk assessment algorithms to accommodate different vehicles (e.g., tanks, APCs, civilian vehicles) and terrain types (sand, mud, snow, rocks) using the same infrastructure.
3Productivity
If risk scores are calculated based on terrain conditions and vehicle type, then optimal route selection improves, but data processing time and computational requirements increase
Solution Approach 1:
The system performs preliminary terrain characterization by scanning and storing terrain condition data in advance during vehicle operations. SPR scans of terrain features are captured and stored in a database before route planning is needed. When a route request is made, the system retrieves pre-characterized terrain data rather than analyzing raw SPR data in real-time, significantly reducing calculation time while maintaining comprehensive terrain assessment quality.
Solution Approach 2:
The route planning process is segmented into distinct phases: terrain data retrieval, risk score calculation for candidate routes, and optimal route selection. The system divides the operational area into route segments and evaluates each segment independently based on terrain conditions and vehicle type. This segmentation allows for efficient parallel processing and reduces the computational burden compared to evaluating entire routes as single units.
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 enables the identification of optimal routes that minimize risk scores for specific vehicle types, taking into account terrain conditions, thereby enhancing safety and efficiency in off-road navigation.
Implementation Method 1
a terrain monitoring system including an SPR system attached to the vehicle for obtaining SPR signals as the vehicle travels along a route
Data Source
Figure 1A~1B
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AI summary
Route planning is provided to a vehicle (or vehicle driver) based at least in part on the type of vehicle and the terrain conditions between the originating location and destination. The vehicle may employ a terrain monitoring system including a surface-penetrating radar (SPR) system for obtaining SPR signals as the vehicle travels along a route; the obtained SPR signals may be used for navigation against reference images associated with the route. In some embodiments, a navigation server bases route selection in part on the terrain associated with various routes and characteristics of the vehicle.