LRF Marker Pattern Detection for Noisy Moving Object Ranging
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Solution Overview
Problem
Laser range finders (LRFs) face difficulties in recognizing small shape changes due to noise and distance precision issues, making it challenging to accurately measure environments with moving objects.
Innovation Solution
A data processing apparatus with a marker system that uses a reflection characteristic pattern on markers, allowing the LRF to detect distances and process measurement data to reduce noise, normalize, and encode information, enabling accurate detection of markers and retrieval of operation information for moving objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If LRF measures environment by emitting detection waves in scanning manner, then measurement capability is achieved, but measurement precision deteriorates due to noise and distance precision issues
Solution Approach 1:
A marker with a specific reflection characteristic pattern is introduced as an intermediary object between the LRF and the environment. The marker reflects detection waves in a distinctive pattern that stands out from ordinary objects, enabling the LRF to accurately identify the marker's position and shape even in noisy measurement environments. The marker acts as a mediator that enhances the signal-to-noise ratio for position detection.
Solution Approach 2:
The marker employs a reflection characteristic pattern that creates a distinctive 'color' or signature in the LRF measurement data. This pattern resembles a specific shape (such as a U-shape or inverted U-shape) that is easily distinguishable from random noise or ordinary objects. By encoding the marker with this visual signature, the system can reliably detect and recognize the marker despite background interference.
2Reliability
If LRF uses scanning detection method, then environment measurement is achieved, but detection reliability deteriorates for small shape changes
Solution Approach 1:
The marker serves as a reliable intermediary reference object with a known, distinctive reflection pattern. By detecting the marker's consistent pattern rather than relying on subtle changes in ordinary environment geometry, the system achieves high reliability in detecting small shape changes or position variations. The marker's predetermined pattern provides a stable reference that is insensitive to distance precision limitations.
Solution Approach 2:
The marker is pre-configured with a specific reflection characteristic pattern before deployment. This preliminary design ensures that when the LRF scans the environment, the marker's pattern is immediately recognizable and can be used as a reliable reference point for detecting subsequent small changes in position or shape, without requiring complex real-time analysis.
3Loss of information
If data processing is performed on raw measurement data, then operation information can be extracted, but data processing complexity increases due to noise
Solution Approach 1:
The marker with its distinctive reflection pattern simplifies data processing by providing a clear, pre-defined signature in the measurement data. Instead of processing complex raw data to extract operation information from noisy environments, the system simply needs to identify the marker's characteristic pattern, which serves as a straightforward intermediary signal indicating the presence and state of the marker.
Solution Approach 2:
The reflection characteristic pattern creates a distinctive signature in the measurement data that is easily identifiable through simple pattern recognition algorithms. This approach transforms complex noise-filtering and information-extraction problems into a simpler task of detecting a known, repeating pattern, significantly reducing data processing complexity while maintaining high information extraction accuracy.
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
The solution effectively enhances the ability to detect reflection characteristic patterns on markers, reducing noise and distance precision errors, allowing for accurate acquisition of operation information and improved environmental measurement by moving objects.
Implementation Method 1
A moving object apparatus with a laser range finder (LRF) can measure its surrounding environment. The LRF measures the environment by emitting detection waves in a scanning manner and detecting reflection waves of the detection waves.
Implementation Method 2
The LRF measures the environment by emitting detection waves in a scanning manner and detecting reflection waves of the detection waves.
Implementation Method 3
measuring the marker of which surface includes a pattern with different reflection characteristics
Data Source
AI summary
According to one embodiment, a data processing apparatus includes a data processing unit and an acquisition unit. The data processing unit is configured to perform data processing on measurement data according to a distance to a marker, the measurement data being obtained by a ranging sensor attached to a moving object and measuring the marker of which surface includes a pattern with different reflection characteristics. The acquisition unit is configured to acquire operation information of the moving object based on data obtained by the data processing.