LiDAR Angle Compensation for Autonomous Mobile Robots
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Solution Overview
Problem
Installation and production errors in LiDAR systems for autonomous mobile robots (AMRs) cause deviations between detected object angles and actual object angles, reducing detection accuracy.
Innovation Solution
An angle compensation system that includes an electronic device configured to perform an angle compensation method. This method involves obtaining the actual and detected positions of an object, calculating a compensation angle based on the distance between these positions, and adjusting the LiDAR's detection angle to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If LiDAR is installed on AMR without compensation, then device complexity is reduced, but measurement precision deteriorates due to angle deviation
Solution Approach 1:
The patent performs angle compensation calculations in advance by moving the AMR to a predetermined reference area and calculating the compensation angle before actual navigation tasks. This preliminary calibration stores the compensation parameters for later use, improving measurement precision without adding real-time computational complexity during operation.
Solution Approach 2:
The patent introduces an electronic device as an intermediary component that separately performs the compensation angle calculations and stores compensation data. This mediator handles the complex computational tasks, allowing the LiDAR system itself to remain relatively simple while achieving high measurement precision through the intermediary's processing.
2Measurement precision
If angle compensation is performed by moving AMR to reference area, then measurement precision improves, but loss of time increases due to additional positioning steps
Solution Approach 1:
The compensation calibration is performed once in advance during setup or maintenance periods, not during every navigation task. This preliminary action establishes the compensation parameters that can be reused multiple times, achieving high measurement precision while minimizing time loss to calibration activities.
Solution Approach 2:
The system performs self-calibration by automatically moving to the reference area and calculating its own compensation angle without requiring external intervention or complex manual adjustment procedures. This self-service approach reduces the time and effort needed for calibration compared to manual methods.
Data Source
AI summary
A angle compensation method for improving an accuracy of a light detection and ranging (LiDAR) for position detection includes: obtaining a first position of an object, the first position being an actual position of the object relative to a predetermined reference area; obtaining a second position of the object detected by the LiDAR when the LiDAR reaches the predetermined reference area; obtaining a first distance between the second position and the first position; and determining a compensation angle of the LiDAR according to the first distance, the compensation angle being configured to compensate an angle detected by the LiDAR. An autonomous mobile robot and an electronic device are also disclosed.