Automated Façade Data Matching Using Laser Samples
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Solution Overview
Problem
Current methods for matching location data of building block façades from mobile mapping systems with aerial images require significant human interaction and result in positional inaccuracies, leading to high costs and unacceptable quality due to the need for manual correlation and synchronization of data sources.
Innovation Solution
A computer arrangement that processes object location data from one source and laser sample location data from another, using a processor to compare and match the data, reducing human interaction and improving positional accuracy by using laser scanner data for automated synchronization, allowing for high relative accuracy without absolute accuracy from both sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual matching methods are used to correlate location data from different sources, then human interaction can achieve correlation between sources, but the process requires significant human interaction and time, resulting in low productivity and high costs
Solution Approach 1:
The patent replaces manual mechanical matching processes with an automated computer-based system that uses laser sample location data to automatically calculate and apply shift vectors to object location data, eliminating the need for manual correlation while maintaining high positional accuracy
Solution Approach 2:
The patent introduces laser sample location data as an intermediary reference that mediates between different location data sources, enabling automatic alignment through calculated shift vectors without requiring direct manual correlation between the original sources
2Productivity
If automated matching processes are used to synchronize data sources, then productivity increases and human interaction decreases, but achieving acceptable quality requires maximum positional deviation to be less than 0.5m which is not met by typical sources with accuracies not below 1m
Solution Approach 1:
The patent creates a corrected copy of the object location data by applying calculated shift vectors derived from laser sample comparisons, producing a new data set with improved positional accuracy without modifying the original low-accuracy sources
Solution Approach 2:
The patent changes the positional parameters of object location data by applying shift vectors that are calculated based on comparisons with laser sample location data, thereby transforming low-accuracy data into high-accuracy aligned data
3Reliability
If high positional correlation is required between data sources to achieve automated processes, then matching quality improves, but the complexity of the system increases due to the need for precise synchronization
Solution Approach 1:
The patent extracts only the necessary laser sample location data points that are relevant to object locations, comparing only these specific points to calculate shift vectors, thereby simplifying the system while maintaining high correlation quality
Data Source
AI summary
A computer arrangement is disclosed, including a processor and a memory that stores a computer program, object data originating from a first source and including object location data, and laser samples originating from a second source, including a sub-set of laser samples relating to the object and including laser sample location data as to each laser sample. In at least one embodiment, the processor compares the object location data and the laser sample location data of the sub-set of laser samples, and matches the object location data to the laser sample location data of the sub-set of laser samples based on this comparison, and thereby corrects for relative positional errors between the first and second sources of location data. The object may be a building façade, for example.