VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera

The use of unmanned aerial vehicles with multiple onboard sensors has grown significantly in tasks involving terrain coverage such as environmental and civil monitoring, disaster management, and forest fire fighting. Many of these tasks require a quick and early response, which makes maximizing the...

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Veröffentlicht in:IEEE journal of selected topics in applied earth observations and remote sensing 2022, Vol.15, p.944-955
Hauptverfasser: Sanchez-Fernandez, Andres J., Romero, Luis F., Bandera, Gerardo, Tabik, Siham
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Tabik, Siham
description The use of unmanned aerial vehicles with multiple onboard sensors has grown significantly in tasks involving terrain coverage such as environmental and civil monitoring, disaster management, and forest fire fighting. Many of these tasks require a quick and early response, which makes maximizing the land covered from the flight path a challenging objective, especially when the area to be monitored is irregular, large and includes many blind spots. Accordingly, state-of-the-art total viewshed algorithms can be of great help to analyze large areas and find new paths providing maximum visibility. This article shows how the total viewshed computation is a valuable tool for generating paths that provide maximum visibility during a flight. We introduce a new heuristic called visibility-based path planning (VPP) that offers a different solution to the path planning problem. VPP identifies the hidden areas of the target territory to generate a path that provides the highest visual coverage. Simulation results show that VPP can cover up to 98.7% of the Montes de Malaga Natural Park and 94.5% of the Sierra de las Nieves National Park, both located within the province of Malaga (Spain) and chosen as regions of interest. In addition, a real flight test confirmed the high visibility achieved using VPP. Our methodology and analysis can be easily applied to enhance monitoring in other large outdoor areas.
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Simulation results show that VPP can cover up to 98.7% of the Montes de Malaga Natural Park and 94.5% of the Sierra de las Nieves National Park, both located within the province of Malaga (Spain) and chosen as regions of interest. In addition, a real flight test confirmed the high visibility achieved using VPP. 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subjects Algorithms
Area coverage
Cameras
Computation
Disaster management
Emergency preparedness
Fire control
Fire fighting
fire prevention
Flight
Flight tests
Forest & brush fires
Forest fires
Forestry
Heuristic
Heuristic algorithms
Monitoring
monitoring path
National parks
Path planning
Problem solving
Real-time systems
Task analysis
Terrain
total viewshed
unmanned aerial vehicle (UAV)
Unmanned aerial vehicles
Visibility
visibility analysis
title VPP: Visibility-Based Path Planning Heuristic for Monitoring Large Regions of Complex Terrain Using a UAV Onboard Camera
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