3D Off-Road Navigation Database Using Segmented Terrain Entries
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Solution Overview
Problem
Existing navigation systems fail to provide effective three-dimensional guidance for off-road terrain, as they lack detailed and dynamic terrain mapping and navigation directives tailored to vehicle type, user skill, and terrain characteristics.
Innovation Solution
A database is created and continuously updated with three-dimensional road segment entries and elbow coordinates, incorporating data from sensors and recorded trails, which provides navigation directives considering vehicle type, terrain characteristics, and user skill levels, allowing for real-time adaptation based on sensor feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing navigation systems are used for off-road terrain, then basic navigation functionality is provided, but three-dimensional guidance accuracy and terrain-specific adaptability are insufficient
Solution Approach 1:
The terrain is segmented into discrete road segments with specific characteristics (gravel, mud, rocky, etc.), and navigation directives are segmented by vehicle type and user skill level. This segmentation allows the system to provide precise 3D guidance for each segment type while maintaining adaptability across different vehicles and users.
Solution Approach 2:
The navigation system dynamically adapts directives based on real-time sensor feedback, vehicle type, and user skill level. The system continuously updates navigation guidance as terrain characteristics change, providing dynamic rather than static navigation instructions for off-road conditions.
2Reliability
If detailed terrain mapping and sensor integration are implemented, then navigation accuracy and adaptability improve, but system complexity increases
Solution Approach 1:
The system uses a unified database structure that stores terrain characteristics, elbow coordinates, and navigation directives in a universal format applicable to multiple vehicle types. The same sensor suite serves multiple functions including position tracking, terrain classification, and navigation validation, reducing overall system complexity despite enhanced capabilities.
Solution Approach 2:
A centralized database acts as an intermediary between sensors and navigation output, consolidating complex sensor data into standardized terrain segments and directives. This intermediary layer simplifies the system architecture by providing a single point of integration rather than multiple specialized processing paths.
3Measurement precision
If continuous database updates using sensor data are performed, then terrain mapping accuracy improves, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary classification of terrain characteristics during data collection, organizing sensor data into predefined segment types (gravel, mud, rocky, etc.) as data is gathered. This preliminary action reduces the computational burden during navigation by pre-structuring the data rather than processing it in real-time from raw sensor inputs.
Data Source
AI summary
A database for mapping off-road terrain of various characteristics in three-dimensional terms, comprising: a plurality of road segment entries, each containing data pertaining to the terrain characteristics of the segment; and a plurality of elbow entries, each containing (x, y, z) coordinates of the elbow and a record for each road segment having the elbow as one of its end points, the record comprising navigation directives for vehicles entering the segment from the elbow.