Deployment of Real Time UAV Aerial Surveillance with Coverage Model

This thesis assesses the feasibility of applying coverage model to the problem of using unmanned aerial vehicles (UAVs) for aerial surveillances. The purpose of aerial surveillance is using sensors to cover the task area to obtain the information regarding to this area, such as environmental study. Comparing to static sensors, business purposes UAVs have higher mobility. Since static sensors have limited sensing range, it is not possible to use them to cover the task area. UAVs with sensors onboard can be used for surveillance and save the data to obtain more detailed information of the task area. The data retrieved by the sensors can be used for developing autonomous control algorithms for navigation of the UAV. However, there are some inevitable factors that shortens the flight time of the UAV. For example, considering the maximum payload of the UAV, the battery of UAV can usually last at most 30 minutes since it cannot be very large. It is very important to improve the efficiency of UAV surveillance by pre-designing the flight path for one UAVs or deployment positions for multiple UAVs