GPS Offset Calibration for UAV Property Scanning
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Solution Overview
Problem
Current methods for site surveys and property assessments require trained technicians to physically visit sites, leading to inefficiencies, inconsistencies, and safety concerns, as they often involve manual data collection and lack uniformity in data capture.
Innovation Solution
An unmanned aerial vehicle (UAV) system that performs autonomous or semi-autonomous assessments using a combination of imaging, sensors, and computer vision, allowing for comprehensive, methodical data collection and analysis without the need for on-site technicians, through boustrophedonic, loop, and micro scans, and includes GPS offset calibration for accurate mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If trained technicians physically visit sites for manual data collection, then detailed property assessments can be obtained, but efficiency is reduced and inconsistencies arise
Solution Approach 1:
The system performs self-service through autonomous UAVs that navigate, capture imagery, and process data without human intervention. The UAV automatically flies pre-programmed routes, captures photos and video, and the system processes this data to generate assessment reports, eliminating the need for technicians to physically visit each property.
Solution Approach 2:
The patent replaces the mechanical system of manual data collection by technicians with an automated UAV-based system. The UAV uses aerial imagery capture and computer vision algorithms to automatically assess property conditions, substituting human physical inspection with remote sensing and image processing technology.
2Loss of information
If trained technicians manually collect data on-site, then comprehensive property information can be gathered, but safety concerns increase due to exposure to hazardous environments
Solution Approach 1:
The system performs self-service through autonomous UAVs that navigate, capture imagery, and process data without human intervention. The UAV automatically flies pre-programmed routes, captures photos and video, and the system processes this data to generate assessment reports, eliminating the need for technicians to physically visit each property.
3Measurement precision
If multiple technicians perform site surveys, then thorough assessments are achieved, but inconsistencies in data capture uniformity occur
Solution Approach 1:
The system uses a standardized UAV platform that can perform multiple assessment functions (aerial imagery capture, video recording, data collection) across different properties. This universal platform ensures consistent data capture methodology regardless of which assessment is being performed, eliminating variability between different technicians.
Solution Approach 2:
The system changes the operational parameters from human-dependent variables to machine-controlled constants. The UAV flies at predetermined altitudes, speeds, and patterns, capturing images at consistent intervals and angles, thereby standardizing data collection parameters across all assessments.
4Loss of time
If GPS coordinates are used directly from mapping systems, then location data is obtained quickly, but accuracy is reduced due to inherent offsets
Solution Approach 1:
The system performs preliminary calibration by flying to known reference locations (such as corners of the property or identifiable landmarks) before the main assessment flight. At these calibration points, the UAV records GPS coordinates and compares them with the expected coordinates from mapping systems, calculating offset values that are stored and applied during subsequent assessments to correct GPS accuracy.
Data Source
AI summary
An unmanned aerial vehicle (UAV) assessment and reporting system may conduct micro scans of a wide variety of property types. A site identification system may allow for identification of a point or points of interest to be scanned via the micro scans. A coordinate offset system may calculate a coordinate offset of location coordinates from a satellite-based mapping system relative to real-time coordinate readings from an on-site UAV. Satellite-based location coordinates for the identified point(s) of interest may be adjusted based on the calculated coordinate offset to enhance the scanning itself, data association, visualization of scan data, and/or reporting of scan data.