Laser Scanner Error Detection for Multi-Target Resolution
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Solution Overview
Problem
Conventional laser scanners face challenges in multi-target situations where laser pulses hit multiple targets with small distance differences, leading to superimposed and distorted received pulses, requiring computationally intensive offline evaluation that demands large memory and expensive server farms.
Innovation Solution
The laser scanner outputs only error-prone sections of the sample sequence for offline evaluation, reducing memory and computational demands by generating an error measure for each transit time measurement and using Gaussian pulses for comparison, thereby reducing data output and processing needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all raw scanner data is recorded in memory for offline evaluation, then measurement accuracy is improved, but memory size and computational power requirements increase significantly
Solution Approach 1:
The patent applies local quality by differentiating between normal measurements and error-prone measurements. Instead of treating all data uniformly, the system selectively identifies and marks only those measurements that require offline evaluation based on error criteria. This selective approach reduces memory requirements while maintaining measurement accuracy for critical cases.
Solution Approach 2:
The patent segments the data processing into two distinct parts: online processing that handles the majority of measurements efficiently, and offline processing that handles only error-prone cases. This segmentation allows the system to maintain high measurement accuracy for problematic cases while reducing overall memory and computational demands by excluding normal cases from extensive processing.
2Measurement precision
If all raw scanner data is stored for offline evaluation, then measurement accuracy is improved, but data processing time and computational power increase significantly
Solution Approach 1:
The patent applies preliminary action by performing error detection and initial evaluation online during the scanning operation. By identifying error-prone measurements in advance and marking them for offline processing, the system avoids the need to process all data offline, significantly reducing total processing time while maintaining accuracy for critical measurements.
Solution Approach 2:
The patent segments data processing into online preliminary evaluation and offline detailed evaluation. This segmentation allows the majority of measurements to be processed quickly online, with only error-prone cases requiring time-intensive offline processing, thereby reducing overall data processing time while maintaining measurement accuracy.
3Measurement precision
If conventional offline evaluation methods are used, then measurement accuracy is improved, but device complexity and cost increase due to expensive server farms
Solution Approach 1:
The patent applies local quality by applying different processing levels to different measurements. Normal measurements receive standard online processing, while only error-prone measurements receive the more complex offline Gaussian decomposition processing. This selective approach maintains measurement accuracy for problematic cases while reducing overall system complexity and cost.
Solution Approach 2:
The patent enables the laser scanner to perform self-service by incorporating online error detection and preliminary evaluation capabilities directly into the scanning system. This self-service approach identifies and flags error-prone measurements during the scanning operation, reducing the burden on offline processing systems and eliminating the need for expensive server farms.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces memory and computational requirements, allowing for efficient online evaluation and eliminating the need for expensive server farms, while maintaining accuracy in 2D and 3D laser scanning applications.
Implementation Method 1
The travel time of a laser pulse reflected from a target is proportional to the distance to the target
Implementation Method 2
a laser transmitter for emitting laser pulses
Data Source
Figure 1
Figure 2a~2g
Figure 3a~3b
AI summary
Laser scanner (1), comprising a laser transmitter (4) for emitting laser pulses (TXi) at predefinable transmission times (ti), a laser receiver (4) for receiving laser pulses (RXi) and digitizing the received signal into a sequence (D) of samples (si), and a measuring device (7) connected thereto for measuring the time of flight of the laser pulses (TXi) by determining the occurrence times (ri) of received pulses (RXi) in the sample sequence (D) with respect to the transmission times (ti) of the laser pulses (TXi), wherein the measuring device (7) outputs the measured time of flight (pi) on an interface (2) of the laser scanner (1) and is configured to generate an error measure (ei) of the measurement for each measured time of flight (pi) and, if the error measure (ei) exceeds a predefinite limit (S), also the section (Ai) of the sample sequence (D) containing the relevant received pulse (RXi) on the interface (2) to spend.