FMCW-LiDAR Point Cloud Time Correction for Synchronized Measurements
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Solution Overview
Problem
Existing FMCW-LiDAR systems face challenges in achieving universal use of measurement results due to varying acquisition times at different measurement points, making it difficult to obtain synchronized measurements across a point cloud.
Innovation Solution
A signal processing apparatus that includes a reception unit for receiving velocity point cloud data, a correction unit to correct attribute values based on estimated time-points, and a transmission unit to add corrected time-point information, enabling synchronized correction of measurement results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sequential scanning is performed for distance measurement using FMCW-LiDAR, then measurement can be performed for each direction, but the acquisition time of the measurement result differs at each measurement point, making it difficult to obtain synchronized measurements
Solution Approach 1:
The patent applies preliminary action by performing time correction on each measurement point before final processing. The correction unit pre-calculates and applies time offsets based on the scanning pattern and speed, so that all points are adjusted to a common reference time point before being used for synchronized measurement results.
Solution Approach 2:
The patent changes the time parameter of each measurement point by applying a correction value. The correction unit modifies the acquisition time of each point by adding a calculated time offset, transforming the unsynchronized time points into synchronized ones relative to a reference time point, thereby resolving the time difference issue while maintaining measurement accuracy.
2Productivity
If measurement results are acquired at different time points for each direction, then sequential scanning can be performed, but the universality and applicability of the measurement result is limited
Solution Approach 1:
The patent transforms the measurement data by changing the time parameter through correction. By adding time correction values to each point based on its acquisition time and the reference time point, the system maintains high scanning efficiency while making the results universally applicable by synchronizing all points to a common time reference.
Solution Approach 2:
The correction unit acts as an intermediary that processes the raw measurement data between acquisition and final application. It introduces time correction values as an intermediate processing step that bridges the gap between sequential acquisition times and the requirement for synchronized, universally applicable measurement results.
3Loss of time
If correction values are calculated for each measurement point, then time synchronization can be achieved, but processing complexity increases
Solution Approach 1:
The patent segments the correction process into distinct functional units: a correction value calculation unit that computes time offsets for each point, and a correction application unit that applies these values. This segmentation allows the complex correction task to be divided into manageable, independent steps that can be processed efficiently.
Solution Approach 2:
The system uses feedback by calculating correction values based on the relationship between each point's acquisition time and the reference time point. The correction amount is determined by feedback from the time difference calculation, creating a closed-loop correction process that achieves synchronization while managing complexity through systematic computation.
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
Enables more universal use of measurement results by correcting for the FMCW-LiDAR systems, allowing for the FMCW-LiDAR systems, allowing for more universal use of the measurement results by enabling more effective use of the measurement results.
Implementation Method 1
FMCW-LiDAR performs distance measurement by performing coherent detection on a reception signal obtained by combining laser light, which is emitted as chirp light in which the frequency of a pulse is linearly changed with the lapse of time, and reflected light of the emitted laser light.
Implementation Method 2
By using the Doppler effect, FMCW-LiDAR can perform velocity measurement simultaneously with distance measurement.
Data Source
AI summary
A signal processing apparatus according to an embodiment includes: a reception unit configured to receive velocity point cloud data from a first sensor, the velocity point cloud data including a plurality of points, each point having velocity information and time-point information; a correction unit that corrects at least one attribute value related to at least one point included in the velocity point cloud data, the correction made based on an estimated value at a predetermined time-point; and a transmission unit configured to add corrected time-point information indicating the predetermined time-point to the attribute value corrected by the correction unit and transmits the corrected attribute value together with the corrected time-point information.