fixed subjectID

CoLo-AT/dataset_manager/data_generator.py

@@ -204,14 +204,14 @@ class DataGenerator():
 
                 # Relative (other robots) observations 
                 other_robot_locs  = {label : [self.groundtruth_data[i][time_idx]['x_pos'], self.groundtruth_data[i][time_idx]['y_pos']] for i, label in enumerate(self.robot_labels, 0) if i != robot_idx }
-                for robotidx, other_robot_loc in other_robot_locs.items():
+                for robotID, other_robot_loc in other_robot_locs.items():
                     
                     if (self.within_vision(self.robot_fov, robot_loc, other_robot_loc, robot_orientation)):
                         measurement_range = self.calc_distance(robot_loc, other_robot_loc) + np.random.normal(loc=0.0,scale=self.measurement_range_noise)
                         bearing = atan2((other_robot_loc[1]-robot_loc[1]), (other_robot_loc[0]-robot_loc[0])) + np.random.normal(loc=0.0,scale=self.bearing_noise) # global coordinates
                         bearing = bearing - robot_orientation # NOTE - local = global - orientation, all between 0 and 2*pi
                         bearing = self.converge_to_angle_range(bearing)
-                        self.measurement_data[robot_idx].append({'time': time, 'subject_ID': self.robot_labels[robotidx], 'measurment_range':measurement_range, 'bearing':bearing})
+                        self.measurement_data[robot_idx].append({'time': time, 'subject_ID': robotID, 'measurment_range':measurement_range, 'bearing':bearing})
                         time_arr.append(time) # we expect repeats/skipped times in time array
 
                 # Landmark (absolute) observations