Adaptive LIDAR ROI Ranging for Laser Position Variations
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Solution Overview
Problem
Existing LIDAR systems face limitations in accuracy and resource efficiency due to variations in laser positions and the dependence on illumination conditions, which affect distance and depth measurements.
Innovation Solution
A method and apparatus for LIDAR systems that divide the measurement distance into multiple ranges, calculate change values for laser positions, and adjust regions of interest based on these values to improve accuracy and reduce processing burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed region of interest is used for distance measurement, then the measurement coverage is maintained, but the measurement accuracy deteriorates due to laser position variations and illumination dependence
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed region of interest to a dynamic region of interest that adapts based on measured distance. The region of interest is adjusted according to the distance to the target object, allowing the system to maintain optimal measurement accuracy across varying conditions without requiring complex manual reconfiguration.
Solution Approach 2:
The patent changes the parameter of region of interest based on the measured distance parameter. By modifying the region of interest parameters (such as spatial extent or positioning) according to the distance to the target, the system compensates for laser position variations and illumination conditions, thereby improving measurement accuracy.
2Productivity
If the entire measurement range is processed uniformly, then complete coverage is achieved, but processing efficiency deteriorates due to unnecessary computations in irrelevant regions
Solution Approach 1:
The patent segments the measurement range into different regions based on distance. By dividing the field of view into multiple regions and processing only the relevant region corresponding to the measured distance, the system reduces unnecessary computations while maintaining complete and accurate measurement data for the target object.
Solution Approach 2:
The patent applies partial action by processing only the necessary portion of the measurement range rather than the entire range. By focusing computational resources on the specific region where the target object is located, the system improves processing efficiency without sacrificing the completeness of measurement data for the actual target.
3Productivity
If adaptive region of interest is implemented, then processing burden is reduced, but system complexity increases due to dynamic adjustment mechanisms
Solution Approach 1:
The patent implements self-service by enabling the system to automatically adjust the region of interest based on its own measurements. The system uses the measured distance information to autonomously determine the appropriate region of interest, eliminating the need for external intervention or complex control mechanisms while improving processing speed.
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
Enhances the accuracy of distance and depth measurements by reducing noise and resource consumption through adaptive region of interest settings.
Implementation Method 1
LIDAR is a technique for detecting a distance by measuring a time it takes for light emitted at the object via a laser to return
Implementation Method 2
By combining pulses of light emitted at the object and reflected back with precise timing measurements, the distance to the object could be calculated
Implementation Method 3
combining pulses of light emitted at the object and reflected back
Data Source
AI summary
A method for operating a LIDAR system includes dividing an entire valid measurement distance into a preset number of distance ranges, calculating a change value for laser positions applicable to the entire valid measurement distance, applying the change value to a reference value determining each of the distance ranges to reestablish each of the distance ranges, setting at least one region of interest for each of the reestablished distance ranges, and collecting depth data from the at least one region of interest.