import numpy as np from kfsims.tracker2d import run_sim from kfsims.kftracker2d import KalmanFilterModel # Simulation Options sim_options = {'time_step': 0.01, 'end_time': 120, 'measurement_rate': 1, 'measurement_noise_std': 10, 'motion_type': 'random', 'start_at_origin': False, 'start_at_random_speed': True, 'start_at_random_heading': True, 'draw_plots': True, 'draw_animation': True} kf_options = {'accel_std':0.5, # Q Matrix Param 'meas_std':10, # R Matrix 'init_on_measurement':True} # Run the Simulation run_sim(KalmanFilterModel, sim_options, kf_options)