UAV Payload Mapping Assembly for Real-Time Geo-Referenced Scanning
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Solution Overview
Problem
Existing mapping technologies for movable objects, such as UAVs, require complex environments for scan-matching and are inefficient in constructing maps in real-time, limiting their applicability and accuracy.
Innovation Solution
A real-time mapping system for movable objects, incorporating a propulsion system, payload assembly with scanning and positioning sensors, and a mapping manager that utilizes parallel computing and geo-referencing to construct maps in real-time, enabling live rendering and efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional scan-matching mapping technology is used, then mapping can be performed in complex environments, but real-time mapping efficiency is poor and accuracy is limited
Solution Approach 1:
The mapping process is segmented into multiple independent parallel tasks including data collection, geo-referencing, map construction, and rendering. Each task is handled by dedicated modules that can operate simultaneously, dramatically improving real-time mapping efficiency while maintaining accuracy through specialized processing for each segment.
Solution Approach 2:
The patent replaces traditional mechanical scan-matching algorithms with a geo-referencing-based system that uses GPS coordinates and timestamp data to directly locate and map sensor readings. This substitution eliminates the need for complex iterative matching computations, enabling real-time processing without sacrificing mapping accuracy.
2Measurement precision
If detailed mapping data is collected and transmitted, then mapping accuracy is improved, but data transmission efficiency decreases due to large data size
Solution Approach 1:
The system extracts only the essential geo-referencing data (GPS coordinates and timestamps) from sensor readings for transmission and storage. The actual detailed mapping data is processed and rendered locally using this compact reference information, significantly reducing data transmission requirements while preserving full mapping accuracy through the geo-referenced point cloud reconstruction.
Data Source
AI summary
Techniques are disclosed for real-time mapping in a movable object environment. A real-time mapping system can include at least an unmanned aerial vehicle (UAV), comprising a propulsion system, a main body coupled to the propulsion system and a payload assembly coupled to the main body via a payload port, wherein the payload assembly is configured to couple to the payload port and support a scanning sensor and a positioning sensor.


