A passivity-based control of Vertical Take-off and Landing (VToL) Unmanned Aerial Vehicles (UAVs) is presented in this paper. An estimator of unmodeled dynamics and external wrench (forces plus moments) acting on the aerial vehicle and based on the momentum of the system is employed to compensate such disturbances effects. This arrangement allows VToL UAVs to perform hovering, tracking and aeri...

In this paper, we present control systems for an unmanned aerial vehicle (UAV) which provides aerial support for an unmanned ground vehicle (UGV). The UGV acts as a mobile launching pad for the UAV. The UAV provides additional environmental image feedback to the UGV. Our UAV of choice is a Parrot ArDrone 2.0 quadcopter, a small four rotored aerial vehicle, picked for its agile flight and video ...

This software provides 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 softwar...

Unmanned aerial vehicles are becoming the defacto method of aerial surveillance for many applications. There is an ever increasing desire to fully automate these systems, from aerial navigation (autopilots) to sophisticated sensor systems that allow the vehicle to perform without a human operator. In this paper, we address the issue of target recognition using visual data to acquire a list of p...

We formally define the aerial scanning problem. A set of unmanned aerial vehicles (UAVs) cooperate to frequently scan a given geographic area. Each UAV can only photograph a small portion of it at a time. Each UAV maintains the necessary information to create a global picture of the geographic area. This global picture consists of smaller pictures that are taken within small time of each other ...

A new set of attributes combining color and SURF-based histograms coupled with a SVM classifier to enhance visual based autonomous aerial navigation is proposed. These new features are used for region classification with aerial images in order to speed up the UAV (Unmanned Aerial Vehicles) localization performed by image matching using only reference images according to the region classificatio...

As technology node shrinks down, hotspots, i.e. patterning failures on wafer after etching process, become an inevitable problem. The main cause of such hotspots is low contrast of aerial image. There are several methods that can improve aerial image contrast such as SRAF insertion and OPC. However, it is difficult to fix all hotspots by applying only SRAF and OPC in advanced technology node. T...

Respectively, exogenous pamamycin-607 and A-factor restored or stimulated aerial mycelium formation in 30 (67%) and 6 (13%) of 45 Streptomyces strains, and both restored or stimulated it in 5 strains (11%). Pamamycin-607 production was detected in 3 of those strains that responded to pamamycin-607. These findings indicate that pamamycin-607 acts on the common regulatory system for aerial myceli...

The location of broken insulators in aerial images is a challenging task. This paper, focusing on the self-blast glass insulator, proposes a deep learning solution. We address the broken insulators location problem as a low signal-noise-ratio image location framework with two modules: 1) object detection based on Fast R-CNN, and 2) classification of pixels based on U-net. A diverse aerial image...

The focus of our research is to improve navigation capabilities of an offroad unmanned ground vehicle (UGV) by improving its perception range. We train an ortophoto classifier by using data gathered by UGV and then extrapolate the data into wider area by using aerial imagery from unmanned aerial vehicles (UAV). The current progress report analyses feasibility of using satellite images instead o...