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Least-Square-Method-Based Optimal Laser Spots Acquisition and Position in Cooperative Target Measurement
Kai Li1, Feng Yuan1, Yinghui Hu1
1School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Sensors (Basel, Switzerland)
|July 27, 2022
Summary
This study enhances space cooperative target measurement precision by optimizing laser diode current and CCD camera exposure time. The new method achieves high accuracy, improving positioning precision in visual measurement systems.
Area of Science:
- Optics and Photonics
- Image Processing
- Robotics and Control Systems
Background:
- Accurate positioning of space cooperative targets is crucial for visual measurement systems.
- Existing methods face precision limitations due to various influencing factors.
- Ground simulation experiments with laser spots are used to study these limitations.
Purpose of the Study:
- To investigate the influence of laser diode supply current and CCD camera exposure time on measurement precision.
- To develop a novel optimization method for improving the accuracy of cooperative target positioning.
- To overcome precision insufficiencies in current visual measurement techniques.
Main Methods:
- Established state equations describing laser spot position variation in image coordinates.
- Proposed a novel optimization method using state variables and controllable variables (diode current, exposure time).
- Calculated optimal controllable variables by intersecting focal spot centroid line and a 3-D surface, avoiding complex nonlinear equation solving.
Main Results:
- The novel optimizing method effectively determines optimal laser diode supply current and CCD exposure time.
- Experimental validation showed the method guarantees focal spot variation within 5-10 pixels.
- Achieved positioning accuracy of 0.6-1.2 mm at a simulated 3 m distance.
Conclusions:
- The proposed method significantly enhances the positioning precision of space cooperative targets.
- Optimizing laser diode current and CCD exposure time is key to improving visual measurement accuracy.
- The new algorithm offers a practical and efficient solution for high-precision target localization.

