LiDAR Galvanometer Mirror Zero Position Offset Fault Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
LiDAR systems mounted on vehicles face challenges in accurately measuring vertical positions of objects due to shifts in the zero position of the galvanometer mirror caused by vehicle vibrations, leading to potential safety risks from inaccuracies in data processing.
Innovation Solution
A fault-detection system that includes processors and memory devices to obtain vehicle speed, conversion parameters, and determine if a fault has occurred by comparing the representation of the road surface plane with the native horizontal plane, allowing for real-time detection and correction of galvanometer mirror issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the LiDAR system is mounted on a vehicle to enable mobile scanning applications, then the adaptability and versatility of the system is improved, but the stability of the galvanometer mirror zero position deteriorates due to vehicle vibrations
Solution Approach 1:
The system continuously monitors the galvanometer mirror position and compares it against expected values. When a deviation is detected (indicating a shift in zero position), the system generates a fault indication to alert operators. This closed-loop feedback mechanism enables real-time detection of position drift caused by vehicle vibrations, allowing for timely intervention or recalibration.
Solution Approach 2:
The patent replaces mechanical vibration isolation or stabilization mechanisms with an electronic detection and indication system. Instead of physically isolating the galvanometer from vibrations through mechanical means, the system uses electronic sensors and processing to detect position changes and generate fault signals, thereby substituting mechanical stabilization with electronic monitoring.
2Reliability
If regular maintenance checks are performed to detect galvanometer mirror position shifts, then the manufacturing precision and reliability are improved, but the loss of time between maintenance checks increases the risk of undetected faults
Solution Approach 1:
The fault detection system operates continuously during LiDAR operation, constantly monitoring galvanometer mirror position rather than performing periodic checks. This continuous monitoring eliminates idle time between maintenance checks while maintaining high reliability, as the system is actively detecting position shifts at all times during operation.
Solution Approach 2:
The system performs self-diagnosis by automatically monitoring its own galvanometer mirror position and generating fault indications when deviations are detected. This self-monitoring capability eliminates the need for external maintenance personnel to perform frequent checks, as the system serves itself by detecting and reporting its own faults in real-time.
3Ease of operation
If the galvanometer mirror zero position shifts due to vibrations, then the ease of operation is maintained, but the measurement precision of vertical object positions deteriorates
Solution Approach 1:
The system provides continuous feedback regarding the accuracy of measurements by monitoring galvanometer position. When position shifts occur that would compromise measurement precision, the fault indication system alerts operators, allowing them to address the issue before it affects measurement quality. This feedback loop maintains measurement precision without complicating operation.
Solution Approach 2:
The system performs preliminary detection of position shifts before they significantly impact measurement precision. By continuously monitoring and generating early warnings of galvanometer drift, the system allows for corrective action to be taken before measurement accuracy deteriorates, thereby preserving precision while maintaining ease of operation.
Data Source
AI summary
A fault-detection system for detecting fault in a LiDAR system mounted on a vehicle is provided. The LiDAR system is configured to provide point cloud data of an external environment of the vehicle in accordance with a LiDAR coordinate system. The fault-detection system includes processor-executable instructions which comprise instructions for: obtaining a vehicle speed; obtaining conversion parameters used for converting from the LiDAR coordinate system to a vehicle coordinate system; determining whether the vehicle speed exceeds a vehicle speed threshold; in accordance with a determination that the vehicle speed exceeds the vehicle speed threshold, obtaining a representation of a road surface plane expressed in the vehicle coordinate system; obtaining a representation of a native horizontal plane provided by the vehicle; and determining whether a fault in the LiDAR system has occurred based on the representation of the road surface plane and the representation of the native horizontal plane.


