Research Article
Minimum Time Search in Real-World Scenarios Using Multiple UAVs with Onboard Orientable Cameras
Algorithm 1
Multistepped GA-based planner.
Require: ⊳Structure with scenario models and times: , , , , , | |
Require: ⊳Structure with optimizer parameters | |
Require: ⊳Initial UAVs locations and sensor poses | |
Require: ⊳ Duration of each subsequence | |
1: ⊳ Determine the duration of the mission | |
2: ⊳ Determine the number of sections required for the multi-stepped planner | |
3: ⊳ Round the duration of the mission | |
4: ⊳ Determine minimum time step to update . | |
5: ⊳ Set starting time | |
6: ⊳ Initialize | |
7: ⊳ Initialize fitness criteria vector | |
8: for r=1:R do⊳ For each subsequence | |
9: ⊳ Obtain best subsequence | |
10: ⊳ Update time for the following section | |
11: end for | |
12: return ⊳ Complete UAV trajectory and sensor poses |