Attitude measurement based on imaging ray tracking model and orthographic projection with iteration algorithm.

Area of Science:

• Computer Vision
• Robotics
• Geometric Measurement

Background:

• Accurate vision-based attitude estimation is critical for applications in robotics and autonomous systems.
• Existing camera models and algorithms present limitations in measurement accuracy, effectiveness, and applicability.

Purpose of the Study:

• To develop a generic imaging model and a corresponding calibration method for enhanced attitude estimation.
• To introduce an advanced attitude solving algorithm inspired by the POSIT algorithm.

Main Methods:

• Developed the 'imaging ray tracking model' and a calibration method using two auxiliary calibration planes.
• Investigated an iterative attitude solving algorithm based on the imaging ray tracking model and orthographic projection.
• Utilized an experimental platform for calibration and algorithm evaluation.

Main Results:

• The proposed imaging ray tracking camera calibration procedure was successfully implemented.
• The novel attitude estimation algorithm demonstrated effectiveness and superiority compared to the classical POSIT algorithm.
• Thorough testing on real-world data validated the algorithm's performance.

Conclusions:

• The developed imaging ray tracking model and attitude estimation algorithm offer significant improvements in vision-based attitude determination.
• The proposed method provides a robust and accurate solution for attitude estimation tasks.
• This work contributes to advancing the field of precise visual measurement for robotic and autonomous applications.