fix the included_imu_measurement_count scope
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				|  | @ -219,7 +219,10 @@ def optimize(gps_measurements: List[GpsMeasurement], | ||||||
|     # (3) we solve the graph to obtain and optimal estimate of robot trajectory |     # (3) we solve the graph to obtain and optimal estimate of robot trajectory | ||||||
|     print("-- Starting main loop: inference is performed at each time step, " |     print("-- Starting main loop: inference is performed at each time step, " | ||||||
|           "but we plot trajectory every 10 steps") |           "but we plot trajectory every 10 steps") | ||||||
|  | 
 | ||||||
|     j = 0 |     j = 0 | ||||||
|  |     included_imu_measurement_count = 0 | ||||||
|  | 
 | ||||||
|     for i in range(first_gps_pose, len(gps_measurements)): |     for i in range(first_gps_pose, len(gps_measurements)): | ||||||
|         # At each non=IMU measurement we initialize a new node in the graph |         # At each non=IMU measurement we initialize a new node in the graph | ||||||
|         current_pose_key = X(i) |         current_pose_key = X(i) | ||||||
|  | @ -246,7 +249,6 @@ def optimize(gps_measurements: List[GpsMeasurement], | ||||||
|             current_summarized_measurement = gtsam.PreintegratedImuMeasurements( |             current_summarized_measurement = gtsam.PreintegratedImuMeasurements( | ||||||
|                 imu_params, current_bias) |                 imu_params, current_bias) | ||||||
| 
 | 
 | ||||||
|             included_imu_measurement_count = 0 |  | ||||||
|             while (j < len(imu_measurements) |             while (j < len(imu_measurements) | ||||||
|                    and imu_measurements[j].time <= t): |                    and imu_measurements[j].time <= t): | ||||||
|                 if imu_measurements[j].time >= t_previous: |                 if imu_measurements[j].time >= t_previous: | ||||||
|  |  | ||||||
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