MATLAB-Based Trajectory Generator for Raw Data Synthesis

We can utilize a trajectory generator implemented in MATLAB to synthesize raw data. This generator enables simulation of various motion trajectories, including linear, circular, and elliptical paths. For data generation, the tool employs parametric equations to produce structured data points corresponding to these geometric shapes - straight lines using linear interpolation, circles through trigonometric functions, and ellipses via modified parametric equations. The implementation typically involves defining trajectory parameters (radius, center coordinates, velocity) and using MATLAB's vector operations for efficient point generation. Additionally, the tool incorporates noise injection features using random number generators (randn for Gaussian noise or rand for uniform noise) to simulate real-world data imperfections. These synthetic datasets serve as valuable testbenches for validating algorithms and machine learning models, particularly for motion prediction applications, helping improve decision-making in practical scenarios through controlled experimentation.