Lidar Calibration Using Texture Data Comparison
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Solution Overview
Problem
Calibrating LIDAR sensors is a time-consuming and imprecise process that requires manual movement of objects and accurate distance measurement, making it labor-intensive and prone to errors.
Innovation Solution
A calibration apparatus with a control computer and jigs having known textures is used to collect and compare texture data from LIDAR sensors, allowing for automated calibration by activating and deactivating the sensor and adjusting values based on form factor and multiple jig configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual movement of objects and distance measurement is used for LIDAR calibration, then the calibration process can be performed, but it becomes time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical operations (physically moving objects and measuring distances) with an automated system that uses a control computer to coordinate object movement and calculate calibration data. The control computer automatically positions objects at specific distances from the LIDAR sensor and performs measurements, eliminating the need for manual intervention while maintaining measurement accuracy.
Solution Approach 2:
The calibration system is designed to be self-operating through automated object positioning and data collection. The control computer automatically manages the entire calibration process including moving objects to predetermined positions, collecting LIDAR measurements, and calculating calibration parameters without requiring continuous human involvement, thereby reducing both time and labor requirements.
2Reliability
If manual movement of objects is used for LIDAR calibration, then the calibration process can be performed, but it becomes prone to errors
Solution Approach 1:
The patent replaces error-prone manual operations with an automated control system that precisely positions objects and collects measurements. The control computer eliminates human errors in distance measurement and object positioning by using programmed movement and automated data collection, thereby improving reliability while simplifying the operational process.
Solution Approach 2:
The system incorporates automated feedback mechanisms where the control computer continuously monitors LIDAR measurements and compares them against expected values. This feedback loop allows the system to automatically detect and correct deviations, ensuring high calibration accuracy without requiring complex manual procedures or human judgment.
3Measurement precision
If multiple objects at different distances are used for calibration, then calibration accuracy is improved, but the process becomes more complex
Solution Approach 1:
The calibration system uses a single multi-functional apparatus that can position objects at multiple different distances and configurations. The control computer manages various calibration scenarios using the same hardware setup, eliminating the need for multiple separate calibration devices or complex manual reconfigurations. This universal approach maintains high measurement precision while simplifying the overall process.
Solution Approach 2:
The system employs dynamic object positioning where objects are automatically moved to different distances and orientations as needed for calibration. The control computer dynamically adjusts the positioning based on the specific calibration requirements, allowing the system to handle multiple calibration scenarios with a single flexible setup rather than requiring static, complex multi-device arrangements.
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 method streamlines the calibration process, improving accuracy and reducing time by automating data collection and correction, leading to more precise sensor calibration.
Implementation Method 1
LIDAR stands for ('Light Detection and Ranging'). Sensors using LIDAR technology are sometimes referred to as 'lidar sensors.'
Implementation Method 2
The instructions include collecting texture data output by a lidar sensor, the texture data representing a detected texture of an interior surface
Data Source
AI summary
A control computer includes a computer memory and a computer processor programmed to execute instructions stored in the memory to perform a lidar calibration test. The instructions include collecting texture data output by a lidar sensor, the texture data representing a detected texture of an interior surface of a first jig disposed about the lidar sensor, comparing the texture data output by the lidar sensor to a known texture of the interior surface of the first jig, determining that the lidar sensor needs to be calibrated as a result of comparing the texture data to the known texture, and calibrating the lidar sensor by uploading updated values for use with the lidar sensor.