Date of download: 7/28/2017
Copyright © ASME. All rights reserved.
Risk-Based Path Planning Optimization Methods for Unmanned Aerial Vehicles Over Inhabited Areas 1
J. Comput. Inf. Sci. Eng. 2016;16(2):021004-021004-7. doi:10.1115/1.4033235
Figure Legend:
Example UAV crash trajectory. The circle denotes the start point and the “×” denotes the final crash location.
Date of download: 7/28/2017
Copyright © ASME. All rights reserved.
Risk-Based Path Planning Optimization Methods for Unmanned Aerial Vehicles Over Inhabited Areas 1
J. Comput. Inf. Sci. Eng. 2016;16(2):021004-021004-7. doi:10.1115/1.4033235
Figure Legend:
Discretized heat map of crash density distribution. The scale corresponds to the probability that the vehicle will land in that cell.
Date of download: 7/28/2017
Copyright © ASME. All rights reserved.
Risk-Based Path Planning Optimization Methods for Unmanned Aerial Vehicles Over Inhabited Areas 1
J. Comput. Inf. Sci. Eng. 2016;16(2):021004-021004-7. doi:10.1115/1.4033235
Figure Legend:
Closeness against computation time for the College Park case
Date of download: 7/28/2017
Copyright © ASME. All rights reserved.
Risk-Based Path Planning Optimization Methods for Unmanned Aerial Vehicles Over Inhabited Areas 1
J. Comput. Inf. Sci. Eng. 2016;16(2):021004-021004-7. doi:10.1115/1.4033235
Figure Legend:
Selected Pareto frontier results. For the College Park case: (a) greedy approach, 30 × 12 GRID; (b) local approach, 30 × 12 GRID; (c)
greedy approach, 40 × 16 GRID; and (d) local approach, 40 × 16 GRID. For PAX river case: (e) greedy approach, 40 × 16 GRID and
(f) local approach, 40 × 16 GRID.
Date of download: 7/28/2017
Copyright © ASME. All rights reserved.
Risk-Based Path Planning Optimization Methods for Unmanned Aerial Vehicles Over Inhabited Areas 1
J. Comput. Inf. Sci. Eng. 2016;16(2):021004-021004-7. doi:10.1115/1.4033235
Figure Legend:
Examples of the solutions generated by the network approach with the 40 × 16 GRID (solid line) and the non-network approach with
20 waypoints (dashed line) for the College Park case: (a) wt=0,wr=1 (b) wt=0.3,wr=0.7