one of the most crucial elements of each country is electricity distribution networks (edn). awareness of accidents in edn could be very important in the conservation and utilization of them. the accurate and periodic inspections can provide a good service to subscribers. the goal of this project is to fabricate a quad rotor, which can do an accurate and a periodic inspection. the design and im...

Thanks to recent advances at the hardware (e.g., emergence of reliable platforms at low cost) and software (e.g., automated identification of conjugate points in overlapping images) levels, UAV-based 3D reconstruction has been widely used in various applications. However, mitigating the impact of outliers in automatically matched points in UAV imagery, especially when dealing with scenes that h...

Although advancing levels of technology allow UAV operators to give increasingly complex commands with expanding temporal scope, it is unlikely that the need for immediate situation awareness and local, short-term flight adjustment will ever be completely superseded. Local awareness and control are particularly important when the operator uses the UAV to perform a search or inspection task. The...

The Common Ground Station (CGS) receives data from the Joint Surveillance and Target Attack Radar System (Joint STARS) aircraft and from other airborne platforms. High-resolution imagery such as that provided by an unmanned airborne vehicle (UAV) carrying an infrared (IR) and/or synthetic aperture radar (SAR) sensor will be incorporated into an Advanced Imagery CGS (AI CGS) operation. While thi...

Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular over the past few years. The complexity of routing UAVs has not been fully investigated in the literature. In this survey, we aim to review recent contributions in UAV trajectory optimisation, UAV routing and contributions addressing these two problems simultaneously. A unified framework is introduced to describe UAV routing and ...

In recent years, development of Unmanned Aerial Vehicles (UAV) has become a significant growing segment of the global aviation industry. These vehicles are developed with the intention of operating in regions where the presence of onboard human pilots is either too risky or unnecessary. Their popularity with both the military and civilian sectors have seen the use of UAVs in a diverse range of ...

Biogeography-based optimization (BBO) has recently become popular in unmanned aerial vehicle (UAV) path planning. Similar to other evolutionary algorithms, the performance of BBO is affected when the parameter setting is not finely tuned. Therefore, the BBO parameters are optimized in this research particularly for application in UAV path planning. Each combination setting of parameters is simu...

This paper examines the guidance methodology needed to implement networks of autonomously-flown unmanned aerial vehicles (UAVs) controlled by centralized ground stations (GSs). The intended operations would take place within a local area with a diameter of less than 10 km for most applications but potentially as large as 50 100 km. UAVs in these networks are envisioned to be potentially quite s...

—Clustering is an effective method which can increase the performance of large-scale ad hoc Unmanned Aerial Vehicle (UAV) networks. However, the ad hoc UAV networks have the feature of high mobility and quick network topology change, using conventional clustering algorithm will lead to the decrease of link connection lifetime and cluster head lifetime, frequent updates of cluster topology woul...

Stable imaging of an unmanned aerial vehicle (UAV) photogrammetry system is an important issue that affects the data processing and application of the system. Compared with traditional aerial images, the large rotation of roll, pitch, and yaw angles of UAV images decrease image quality and result in image deformation, thereby affecting the ground resolution, overlaps, and the consistency of the...