13 research outputs found

    Rancang Bangun Sistem Foto Udara Menggunakan Layang-Layang (Kite Aerial Photography)

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    Kite aerial photography (KAP) provides an alternative solution on conventional aerial photography by using kite equipped with digital camera that can be controlled from the ground and that can stream video to the ground. Data communication system that is applied on KAP utilizes microcontroller AT89S52 as the interface. Commands from a non-vibrated play station stick are modullated using frequency shift keying (FSK) and transmitted from the ground to the KAP. The commands are then demodullted for controlling the shutter and zoom of digital camera and positioning the digital camera by rotating servo motor (panning and tilting). Video is transmitted using frequency 1.2 GHz and received by a TV tuner to view the location/obejct to be captured. Functional testing has been conducted and resutls suggest that the system works as expected

    CQAR: Closed quarter aerial robot design for reconnaissance, surveillance and target acquisition tasks in urban areas

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    International Journal of Computational Intelligence, Volume 1, Number 4, 2004. Retrieved April 2006 from http://prism2.mem.drexel.edu/~paul/papers/ohIjci2004.pdfThis paper describes a prototype aircraft that can fly slowly, safely and transmit wireless video for tasks like reconnaissance, surveillance and target acquisition. The aircraft is designed to fly in closed quarters like forests, buildings, caves and tunnels which are often spacious but GPS reception is poor. Envisioned is that a small, safe and slow flying vehicle can assist in performing dull, dangerous and dirty tasks like disaster mitigation, search-and-rescue and structural damage assessment

    UAVs for the Environmental Sciences

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    This book gives an overview of the usage of UAVs in environmental sciences covering technical basics, data acquisition with different sensors, data processing schemes and illustrating various examples of application

    Review article: The use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management

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    The number of scientific studies that consider possible applications of remotely piloted aircraft systems (RPASs) for the management of natural hazards effects and the identification of occurred damages strongly increased in the last decade. Nowadays, in the scientific community, the use of these systems is not a novelty, but a deeper analysis of the literature shows a lack of codified complex methodologies that can be used not only for scientific experiments but also for normal codified emergency operations. RPASs can acquire on-demand ultra-high-resolution images that can be used for the identification of active processes such as landslides or volcanic activities but can also define the effects of earthquakes, wildfires and floods. In this paper, we present a review of published literature that describes experimental methodologies developed for the study and monitoring of natural hazard

    The Role of Vision Algorithms for Micro Aerial Vehicles

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    This work investigates the research topics related to visual aerial navigation in loosely structured and cluttered environments. During the inspection of the desired infrastructure the robot is required to fly in an environment which is uncertain and only partially structured because, usually, no reliable layouts and drawings of the surroundings are available. To support these features, advanced cognitive capabilities are required, and in particular the role played by vision is of paramount importance. The use of vision and other onboard sensors such as IMU and GPS play a fundamental to provide high level degree of autonomy to flying vehicles. In detail, the outline of this thesis is organized as follows • Chapter 1 is a general introduction of the aerial robotic field, the quadrotor platform, the use of onboard sensors like cameras and IMU for autonomous navigation. A discussion about camera modeling, current state of art on vision based control, navigation, environment reconstruction and sensor fusion is presented. • Chapter 2 presents vision based control algorithms useful for reactive control like collision avoidance, perching and grasping tasks. Two main contributions are presented based on relative depth map and image based visual servoing respectively. • Chapter 3 discusses the use of vision algorithms for localization and mapping. Compared to the previous chapter, the vision algorithm is more complex involving vehicle’s poses estimation and environment reconstruction. An algorithm based on RGB-D sensors for localization, extendable to localization of multiple vehicles, is presented. Moreover, an environment representation for planning purposes, applied to industrial environments, is introduced. • Chapter 4 introduces the possibility to combine vision measurements and IMU to estimate the motion of the vehicle. A new contribution based on Pareto Optimization, which overcome classical Kalman filtering techniques, is presented. • Chapter 5 contains conclusion, remarks and proposals for possible developments

    Factories of the Future

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    Engineering; Industrial engineering; Production engineerin

    Planetary Science Vision 2050 Workshop : February 27–28 and March 1, 2017, Washington, DC

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    This workshop is meant to provide NASA’s Planetary Science Division with a very long-range vision of what planetary science may look like in the future.Organizer, Lunar and Planetary Institute ; Conveners, James Green, NASA Planetary Science Division, Doris Daou, NASA Planetary Science Division ; Science Organizing Committee, Stephen Mackwell, Universities Space Research Association [and 14 others]PARTIAL CONTENTS: Exploration Missions to the Kuiper Belt and Oort Cloud--Future Mercury Exploration: Unique Science Opportunities from Our Solar System’s Innermost Planet--A Vision for Ice Giant Exploration--BAOBAB (Big and Outrageously Bold Asteroid Belt) Project--Asteroid Studies: A 35-Year Forecast--Sampling the Solar System: The Next Level of Understanding--A Ground Truth-Based Approach to Future Solar System Origins Research--Isotope Geochemistry for Comparative Planetology of Exoplanets--The Moon as a Laboratory for Biological Contamination Research--“Be Careful What You Wish For:” The Scientific, Practical, and Cultural Implications of Discovering Life in Our Solar System--The Importance of Particle Induced X-Ray Emission (PIXE) Analysis and Imaging to the Search for Life on the Ocean Worlds--Follow the (Outer Solar System) Water: Program Options to Explore Ocean Worlds--Analogies Among Current and Future Life Detection Missions and the Pharmaceutical/ Biomedical Industries--On Neuromorphic Architectures for Efficient, Robust, and Adaptable Autonomy in Life Detection and Other Deep Space Missions

    Factories of the Future

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    Engineering; Industrial engineering; Production engineerin
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