In this paper, we present a comprehensive design methodology for constructing small-scale UAV helicopters. The systematic design procedure, which includes hardware component selection, design and integration, as well as experimental evaluation, is utilized to construct a fully functional UAV helicopter, named SheLion. Various ground and flight tests have been performed to verify the feasibility...

We consider the problem of mitigating a highly varying wireless channel between a ground node transmitting to a small, low-altitude unmanned aerial vehicle (UAV) in a wireless mesh network. One approach is to use multiple receiver nodes on the UAV that exploit the channel’s spatial/temporal diversity and that cooperate to improve overall packet reception. We present a series of measurement stud...

This software provide functions on processing UAV (unmanned aerial vehicle) aerial image data according to the requirements of forestry area application on UAV platform. It gives a real-time and remote watch on fire in Greater Xing’ an Mountains, simultaneously the UAV is flying and getting the aerial data, helping users quickly master the number and location of fire points. Monitoring software...

This work considers the tracking of the UAV (unmanned aviation vehicle) on the basis of on-board observations of natural landmarks including azimuth and elevation angles. It is assumed that either UAV’s cameras are able to capture the angular position of reference point and to measure the angles of the sight line. Such measurements involve the real position of UAV in implicit form, and therefor...

Air quality data collection near pollution sources is difficult, particularly when sites are complex, have physical barriers, or are themselves moving. Small Unmanned Aerial Vehicles (UAVs) offer new approaches to air pollution and atmospheric studies. However, there are a number of critical design decisions which need to be made to enable representative data collection, in particular the locat...

Accurate estimates of forest canopy are essential for the characterization of forest ecosystems. Remotelysensed techniques provide a unique way to obtain estimates over spatially extensive areas, but their application is limited by the spectral and temporal resolution available from these systems, which is often not suited to meet regional or local objectives. The use of unmanned aerial vehicle...

In animal monitoring applications, both animal detection and their movement prediction are major tasks. While a variety of animal monitoring strategies exist, most of them rely on mounting devices. However, in real world, it is difficult to find these animals and install mounting devices. In this paper, we propose an animal monitoring application by utilizing wireless sensor networks (WSNs) and...

Real-time stitching is a research focus of UAV area. The speed and accuracy of stitching algorithm are both important for commanders to make right decisions in battlefield. In this paper, a real-time UAV aerial image stitching algorithm based on predicted region matching is proposed. A new matching strategy is applied to the feature matching step. The transformation matrix will be calculated by...

This paper proposes a real-time movement control algorithm for massive unmanned aerial vehicles (UAVs) that provide emergency cellular connections in an urban disaster site. While avoiding the inter-UAV collision under temporal wind dynamics, the proposed algorithm minimizes each UAV’s energy consumption per unit downlink rate. By means of a mean-field game theoretic flocking approach, the velo...

In this paper, an FPGA based UAV INSAR raw signal simulator is designed to address high computational complexity. It is based on a time domain raw signal generation algorithm and can compute in real time. This signal simulator is designed for Hardware-in-the-loop (HWIL) UAV INSAR simulation which can be used for UAV operator training and system verification. MultiFPGAs are used in this simulato...