diff --git a/selfdrive/locationd/kalman/models/live_kf.py b/selfdrive/locationd/kalman/models/live_kf.py index 48ac887e77..f720917cb1 100755 --- a/selfdrive/locationd/kalman/models/live_kf.py +++ b/selfdrive/locationd/kalman/models/live_kf.py @@ -79,7 +79,7 @@ class LiveKalman(): omega = state[States.ANGULAR_VELOCITY, :] vroll, vpitch, vyaw = omega roll_bias, pitch_bias, yaw_bias = state[States.GYRO_BIAS, :] - odo_scale = state[16, :] + odo_scale = state[States.ODO_SCALE, :][0,:] acceleration = state[States.ACCELERATION, :] imu_angles = state[States.IMU_OFFSET, :] @@ -126,9 +126,9 @@ class LiveKalman(): # Observation matrix modifier H_mod_sym = sp.Matrix(np.zeros((dim_state, dim_state_err))) - H_mod_sym[0:3, 0:3] = np.eye(3) - H_mod_sym[3:7, 3:6] = 0.5 * quat_matrix_r(state[3:7])[:, 1:] - H_mod_sym[7:, 6:] = np.eye(dim_state - 7) + H_mod_sym[States.ECEF_POSITION, States.ECEF_POSITION_ERR] = np.eye(States.ECEF_POSITION.stop - States.ECEF_POSTION.stop) + H_mod_sym[States.ECEF_ORIENTATION, States.ECEF_ORIENTATION_ERR] = 0.5 * quat_matrix_r(state[3:7])[:, 1:] + H_mod_sym[States.ECEF_ORIENTATION.stop:, States.ECEF_ORIENTATION_ERR.stop:] = np.eye(dim_state - States.ECEF_ORIENTATION.stop) # these error functions are defined so that say there # is a nominal x and true x: @@ -140,16 +140,16 @@ class LiveKalman(): err_function_sym = sp.Matrix(np.zeros((dim_state, 1))) delta_quat = sp.Matrix(np.ones((4))) - delta_quat[1:, :] = sp.Matrix(0.5 * delta_x[3:6, :]) - err_function_sym[0:3, :] = sp.Matrix(nom_x[0:3, :] + delta_x[0:3, :]) - err_function_sym[3:7, 0] = quat_matrix_r(nom_x[3:7, 0]) * delta_quat - err_function_sym[7:, :] = sp.Matrix(nom_x[7:, :] + delta_x[6:, :]) + delta_quat[1:, :] = sp.Matrix(0.5 * delta_x[States.ECEF_ORIENTATION_ERR, :]) + err_function_sym[States.ECEF_POSITION, :] = sp.Matrix(nom_x[States.ECEF_POSITION, :] + delta_x[States.ECEF_POSITION_ERR, :]) + err_function_sym[States.ECEF_ORIENTATION, 0] = quat_matrix_r(nom_x[States.ECEF_ORIENTATION, 0]) * delta_quat + err_function_sym[States.ECEF_ORIENTATION.stop:, :] = sp.Matrix(nom_x[States.ECEF_ORIENTATION.stop:, :] + delta_x[States.ECEF_ORIENTATION_ERR.stop:, :]) inv_err_function_sym = sp.Matrix(np.zeros((dim_state_err, 1))) - inv_err_function_sym[0:3, 0] = sp.Matrix(-nom_x[0:3, 0] + true_x[0:3, 0]) - delta_quat = quat_matrix_r(nom_x[3:7, 0]).T * true_x[3:7, 0] - inv_err_function_sym[3:6, 0] = sp.Matrix(2 * delta_quat[1:]) - inv_err_function_sym[6:, 0] = sp.Matrix(-nom_x[7:, 0] + true_x[7:, 0]) + inv_err_function_sym[States.ECEF_POSITION_ERR, 0] = sp.Matrix(-nom_x[States.ECEF_POSITION, 0] + true_x[States.ECEF_POSITION, 0]) + delta_quat = quat_matrix_r(nom_x[States.ECEF_ORIENTATION, 0]).T * true_x[States.ECEF_ORIENTATION, 0] + inv_err_function_sym[States.ECEF_ORIENTATION_ERR, 0] = sp.Matrix(2 * delta_quat[1:]) + inv_err_function_sym[States.ECEF_ORIENTATION_ERR.stop:, 0] = sp.Matrix(-nom_x[States.ECEF_ORIENTATION.stop:, 0] + true_x[States.ECEF_ORIENTATION.stop:, 0]) eskf_params = [[err_function_sym, nom_x, delta_x], [inv_err_function_sym, nom_x, true_x],