Mapping Data Quality Control via Ground Point Correlation
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Solution Overview
Problem
Current methods for correcting terrestrial data in mapping applications are time-consuming and resource-intensive, particularly in large-scale mapping, and often fail to accurately identify and address inaccuracies in real-time, leading to safety hazards and reduced product reliability.
Innovation Solution
A system and method that receives terrestrial data, detects ground points, correlates them with ground control points, computes positional differences, and generates a report on data quality, enabling automatic and scalable detection of inadequate data and facilitating real-time correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If terrestrial data is captured using surveying vehicles with sensors, then mapping data can be collected, but localization errors occur due to GPS signal distortion and sensor drift
Solution Approach 1:
The patent introduces map features (landmarks, road markings, buildings) as intermediary reference points between the surveying vehicle and the GPS satellite system. These features serve as reliable mediators for determining vehicle position, especially when GPS signals are distorted or blocked in urban environments. The system captures images of these features and matches them against stored map data to calculate accurate vehicle location and orientation.
Solution Approach 2:
The patent replaces reliance on mechanical/GPS-based positioning systems with a vision-based positioning system. Instead of depending solely on GPS satellites and inertial sensors that are prone to drift and signal blockage, the system uses optical cameras to detect and recognize map features, converting the positioning problem from a mechanical/signal-based task to an optical recognition task that is more reliable in urban canyons.
2Measurement precision
If data analysis is performed post-capture to identify inadequate data, then data quality can be evaluated, but the process is time-consuming and costly for large-scale mapping
Solution Approach 1:
The patent performs preliminary quality assessment during the data capture phase itself rather than after collection. The system continuously evaluates whether captured images contain sufficient map features for accurate positioning and immediately identifies inadequate data. This allows quality assessment to happen in real-time during the mapping operation, eliminating the need for separate post-capture analysis phases.
Solution Approach 2:
The system performs self-evaluation of data quality by automatically analyzing captured images for the presence and quality of map features. The surveying vehicle's computer system independently assesses whether each captured image set contains sufficient recognizable features for positioning, without requiring external manual inspection. This self-service capability enables rapid quality assessment at scale.
Data Source
AI summary
Systems and methods for correcting mapping information inaccuracies are described. In some aspects, the method includes receiving terrestrial data captured in an area of interest, and detecting features in the terrestrial data identifying ground points in the area of interest. The method also includes correlating the ground points with ground control points in the area of interest to determine a correspondence, and computing an aggregate of positional differences between corresponding points. The method further includes generating a report indicating a quality of the terrestrial data captured in the area of interest based on the aggregate.