Academic literature on the topic 'MAV'
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Journal articles on the topic "MAV"
Meiyasa, F., N. Taringan, K. U. Henggu, Y. R. Tega, S. Ndahawali, K. E. Zulfamy, M. N. B. Saputro, and I. Priyastiti. "Biological activities of macroalgae in the Moudulung waters: bioactive compounds and antioxidant activity." Food Research 8, no. 1 (January 13, 2024): 82–91. http://dx.doi.org/10.26656/fr.2017.8(1).050.
Full textPitman, David, and Mary L. Cummings. "Collaborative Exploration with a Micro Aerial Vehicle: A Novel Interaction Method for Controlling a MAV with a Hand-Held Device." Advances in Human-Computer Interaction 2012 (2012): 1–15. http://dx.doi.org/10.1155/2012/768180.
Full textMoore, Martin L., Corrie C. Brown, and Katherine R. Spindler. "T Cells Cause Acute Immunopathology and Are Required for Long-Term Survival in Mouse Adenovirus Type 1-Induced Encephalomyelitis." Journal of Virology 77, no. 18 (September 15, 2003): 10060–70. http://dx.doi.org/10.1128/jvi.77.18.10060-10070.2003.
Full textWang, Wei, Feng Wang, Yong Zhou, Yong Cheng, Yu Ze Song, and Kenzo Nonami. "Modeling and Embedded Autonomous Control for Quad-Rotor MAV." Applied Mechanics and Materials 130-134 (October 2011): 2461–64. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2461.
Full textFu, Zhuoqing. "The classification and application of miniature unmanned aerial vehicle." Applied and Computational Engineering 10, no. 1 (September 25, 2023): 108–12. http://dx.doi.org/10.54254/2755-2721/10/20230154.
Full textPagni, C. A., M. Fontanella, F. Nannucci, D. Garbossa, C. Cossandi, M. Bergui, C. Nurisso, and G. B. Bradač. "Il trattamento delle malformazioni artero-venose cerebrali." Rivista di Neuroradiologia 15, no. 1 (February 2002): 93–108. http://dx.doi.org/10.1177/197140090201500109.
Full textShen, Chong, Zesen Bai, Huiliang Cao, Ke Xu, Chenguang Wang, Huaiyu Zhang, Ding Wang, Jun Tang, and Jun Liu. "Optical Flow Sensor/INS/Magnetometer Integrated Navigation System for MAV in GPS-Denied Environment." Journal of Sensors 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/6105803.
Full textRaman, Sharmila, Tien-Huei Hsu, Shanna L. Ashley, and Katherine R. Spindler. "Usage of Integrin and Heparan Sulfate as Receptors for Mouse Adenovirus Type 1." Journal of Virology 83, no. 7 (January 28, 2009): 2831–38. http://dx.doi.org/10.1128/jvi.02368-08.
Full textFang, Lei, and Katherine R. Spindler. "E1A-CR3 Interaction-Dependent and -Independent Functions of mSur2 in Viral Replication of Early Region 1A Mutants of Mouse Adenovirus Type 1." Journal of Virology 79, no. 6 (March 15, 2005): 3267–76. http://dx.doi.org/10.1128/jvi.79.6.3267-3276.2005.
Full textGralinski, Lisa E., Shanna L. Ashley, Shandee D. Dixon, and Katherine R. Spindler. "Mouse Adenovirus Type 1-Induced Breakdown of the Blood-Brain Barrier." Journal of Virology 83, no. 18 (July 1, 2009): 9398–410. http://dx.doi.org/10.1128/jvi.00954-09.
Full textDissertations / Theses on the topic "MAV"
Giraldez, Dember Alexander. "FPGA-aided MAV vision-based estimation." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/76960.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 79-81).
The process of estimating motion trajectory through an unknown environment from a monocular image sequence is one of the main challenges in Micro Air Vehicle (MAV) navigation. Today MAVs are becoming more and more prevalent in both civilian and military operations. However, with their reduction in size compared to traditional Unmanned Aircraft Vehicles (UAVs), the computational power and payload that can be carried onboard is limited. While there is ample research in motion estimation for systems that are deployed on the ground, have various sensors, as well as multiple cameras, a current challenge consists of deploying minimalistic systems suited specifically for MAVs. This thesis presents a novel approach for six-degrees of freedom motion estimation using a monocular camera containing a Field-Programmable-Gate-Array (FPGA). Most implementations using a monocular camera onboard MAVs stream images to a ground station for processing. However, an FPGA can be programmed for feature extraction, so instead of sending raw images, information is encoded by the FPGA and only frame information, feature locations, and descriptors are transmitted. This onboard precomputation greatly reduces bandwidth usage and ground station processing. The objectives of this research are (1) to show how the raw computing power of an FPGA can be exploited in this application and (2) to evaluate the performance of such a system against a traditional monocular camera implementation. The underlying motivation is to bring MAV systems closer to complete autonomy, meaning all the computation needed for estimation and navigation is carried out autonomously and onboard.
by Dember Alexander Giraldez.
M.Eng.
Greenberg, Jacob. "Visual Odometry for Autonomous MAV with On-Board Processing." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177290.
Full textEn ny visuell registreringsalgoritm (Adaptive Iterative Closest Keypoint, AICK) testas och utvärderas som ett positioneringsverktyg på en Micro Aerial Vehicle (MAV). Tagna bilder från en Kinect liknande RGB-D kamera analyseras och en approximerad position av MAVen beräknas. Förhoppningen är att hitta en positioneringslösning för miljöer utan GPS förbindelse, där detta arbete fokuserar på kontorsmiljöer inomhus. MAVen flygs manuellt samtidigt som RGB-D bilder tas, dessa registreras sedan med hjälp av AICK. Resultatet analyseras för att kunna dra en slutsats om AICK är en rimlig metod eller inte för att åstadkomma autonom flygning med hjälp av den uppskattade positionen. Resultatet visar potentialen för en fungerande autonom MAV i miljöer utan GPS förbindelse, men det finns testade miljöer där AICK i dagsläget fungerar undermåligt. Bristen på visuella särdrag på t.ex. en vit vägg inför problem och osäkerheter i positioneringen, ännu mer besvärande är det när avståndet till omgivningen överskrider RGB-D kamerornas räckvidd. Med fortsatt arbete med dessa svagheter är en robust autonom MAV som använder AICK för positioneringen rimlig.
Tamai, Masatoshi. "Experimental investigations on biologically inspired airfoils for MAV applications." [Ames, Iowa : Iowa State University], 2007.
Find full textWatman, Daniel John Mechanical & Manufacturing Engineering Faculty of Engineering UNSW. "Analysis and optimisation of passive flapping wing propulsion for micro aerial vehicles." Publisher:University of New South Wales. Mechanical & Manufacturing Engineering, 2009. http://handle.unsw.edu.au/1959.4/43715.
Full textSreetharan, Pratheev Sabaratnam. "Mechanical Intelligence in Millimeter-Scale Machines." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10426.
Full textEngineering and Applied Sciences
Tan, Lee Meng Mark. "Efficient rectenna design for wireless power transmission for MAV Applications." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Dec%5FTan%5FMark.pdf.
Full textThesis Advisor(s): David C Jenn, Richard Harkins. Includes bibliographical references (p.119-122). Also available online.
Björk, Daniel. "Automated Propulsion Kit Selection for MAV : A Design Process Tool." Thesis, Linköping University, Department of Mechanical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4164.
Full textThis thesis project has been carried out at Linköpings universitet at the Department of Mechanical Engineering. The emphasis of the project lies in the exploration of automatic selection of components for a propulsion kit. Specifically for this project, propulsion based on electric power and meeting the requirements for use in a Micro Aerial Vehicle (MAV). The key features include a systematic selection method based on user criterias and a model for evaluating propeller performance. These are implemented in a program written as a part of the project. The conclusion is that it is possible to make a program capable of a component selection and that the programs usability is mainly reliant on three factors: model for propeller evaluation, method of selection and the quality of the component database.
Lubbers, Jonathan Louis. "PERCH LANDING MANEUVERS AND CONTROL FOR A ROTATING-WING MAV." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_theses/152.
Full textAgrawal, Arun. "Design of bio-inspired flexible flapping wing for MAV application." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 116 p, 2008. http://proquest.umi.com/pqdweb?did=1654490211&sid=1&Fmt=2&clientId=8331&RQT=309&VName=PQD.
Full textHeiner, Benjamin K. "Construction of large geo-referenced mosaics from MAV video and telemetry data /." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd3045.pdf.
Full textBooks on the topic "MAV"
Mav kiri suvanda. Butpiṭiya: Ruvan Prakāśakayō, 1993.
Find full textMartínez-Vera, Rubén. Estado de resultados MAV. 2nd ed. [Mexicali?: s.n.], 1986.
Find full textDobrin, Naum. I͡A︡ mav nahodu spilkuvatysʹ. Kirovohrad: Vyd-vo "Mavik", 2002.
Find full textZi︠a︡tek Pavlo - vin mav nebesnu nadii︠u︡. Lʹviv: Liana-M, 2015.
Find full textĂntani, Jăksan. Mav bimē itihasayaṭa saṅgāyanāvak mahā Siṃhalē vaṃsa kathāva. [Koḷamba]: Guṇasēna, 2006.
Find full textCarbonaro, M., and Roland Decuypere. Recent developments in unmanned aircraft systems: (UAS, including UAV and MAV) : April 4-8, 2011. Rhode Saint Genèse, Belgium: Von Karman Institute for Fluid Dynamics, 2011.
Find full textVinnyk, Ruslan. Khto takyĭ khokhol?: Pro odyn starodavniĭ sposib pidstryhaty chuba, abo, Chy mav kni︠a︡zʹ Svi︠a︡toslav oseledt︠s︡i︠a︡. Kharkiv: "Kontrast", 2019.
Find full textVitale, Robert L. Design and prototype development of a wireless power transmission system for a micro air vehicle (MAV). Monterey, Calif: Naval Postgraduate School, 1999.
Find full textSimon, Usher, Reid Stephen, and Ball Philip, eds. Mac Mag. Glasgow: Mackintosh School of Architecture, 1990.
Find full textRose, Carla. It's a mad, mad, mad, mad Mac. New York: Windcrest/McGraw-Hill, 1994.
Find full textBook chapters on the topic "MAV"
Palleboina, Suryanarayana, and Kamalakar Pallela. "MAV Design Aspects Using MEMS." In Biophysics of Insect Flight, 143–54. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5184-7_11.
Full textSamy, Ihab, and Da-Wei Gu. "FADS System Applied to a MAV." In Fault Detection and Flight Data Measurement, 109–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24052-2_7.
Full textFurrer, Fadri, Michael Burri, Markus Achtelik, and Roland Siegwart. "RotorS—A Modular Gazebo MAV Simulator Framework." In Studies in Computational Intelligence, 595–625. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26054-9_23.
Full textRahul, D. K., S. Veena, H. Lokesha, and P. Lakshmi. "Speech Corpus Development for Voice-Controlled MAV." In Lecture Notes in Electrical Engineering, 83–89. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3477-5_11.
Full textCristofaro, Andrea, Alessandro Renzaglia, and Agostino Martinelli. "Distributed Information Filters for MAV Cooperative Localization." In Springer Tracts in Advanced Robotics, 133–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32723-0_10.
Full textDaftry, Shreyansh, J. Andrew Bagnell, and Martial Hebert. "Learning Transferable Policies for Monocular Reactive MAV Control." In Springer Proceedings in Advanced Robotics, 3–11. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50115-4_1.
Full textFan, Yuantao, Maytheewat Aramrattana, Saeed Gholami Shahbandi, Hassan Mashad Nemati, and Björn Åstrand. "Infrastructure Mapping in Well-Structured Environments Using MAV." In Towards Autonomous Robotic Systems, 116–26. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40379-3_12.
Full textPin, Wu. "Deformation and Performance Measurements of MAV Flapping Wings." In Experimental and Applied Mechanics, Volume 6, 63–64. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9792-0_8.
Full textWu, William, Fei Gao, Luqi Wang, Boyu Zhou, and Shaojie Shen. "Temporal Scheduling and Optimization for Multi-MAV Planning." In Springer Proceedings in Advanced Robotics, 813–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95459-8_50.
Full textVillagómez, Jesús G., Manuel Vargas, Manuel G. Ortega, and Francisco R. Rubio. "Planar Modeling of an Actuated Camera Onboard a MAV." In Lecture Notes in Electrical Engineering, 483–93. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10380-8_46.
Full textConference papers on the topic "MAV"
Li, Chao, and Quan-Bo Ge. "SCKF for MAV attitude estimation." In 2011 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2011. http://dx.doi.org/10.1109/icmlc.2011.6016854.
Full textJing, Chan Shi, Dwi Pebrianti, Goh Ming Qian, and Luhur Bayuaji. "Fault detection in quadrotor MAV." In 2017 7th IEEE International Conference on System Engineering and Technology (ICSET). IEEE, 2017. http://dx.doi.org/10.1109/icsengt.2017.8123422.
Full textWang, Song, Tianmiao Wang, Jianhong Liang, Xiaoyu Li, and Li Pu. "Heading System Design of MAV." In 2006 IEEE Conference on Robotics, Automation and Mechatronics. IEEE, 2006. http://dx.doi.org/10.1109/ramech.2006.252661.
Full textLim, Ren Foo, Akihiko Torii, and Masatoshi Okutomi. "View extension for teleoperated MAV." In 2015 14th IAPR International Conference on Machine Vision Applications (MVA). IEEE, 2015. http://dx.doi.org/10.1109/mva.2015.7153247.
Full textQian, Goh Ming, Dwi Pebrianti, Yee Woon Chun, Yong Hooi Hao, and Luhur Bayuaji. "Waypoint navigation of quad-rotor MAV." In 2017 7th IEEE International Conference on System Engineering and Technology (ICSET). IEEE, 2017. http://dx.doi.org/10.1109/icsengt.2017.8123417.
Full textGong, Zheng, Ling Pei, Danping Zou, Ruihang Miao, Peilin Liu, and Wenxian Yu. "Graphical Approach for MAV Sensors Fusion." In 29th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2016). Institute of Navigation, 2016. http://dx.doi.org/10.33012/2016.14569.
Full textDickinson, Benjamin, John Singler, and Gregg Abate. "Structural Feedback for Enhanced MAV Flight." In AIAA Atmospheric Flight Mechanics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-7933.
Full textMitra, Atindra K., Miguel Gates, Chris Barber, Thomas Goodwin, Rastko Selmic, Raul Ordonez, Ali Sekman, and Mohan Malkani. "Sensor agnostics for networked MAV applications." In SPIE Defense, Security, and Sensing, edited by Teresa H. O'Donnell, Misty Blowers, and Kevin L. Priddy. SPIE, 2010. http://dx.doi.org/10.1117/12.850379.
Full textPrapulla, N., S. Veena, and G. Srinivasalu. "Development of algorithms for MAV security." In 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2016. http://dx.doi.org/10.1109/rteict.2016.7807936.
Full textGim Hee Lee, Friedrich Fraundorfer, and Marc Pollefeys. "MAV visual SLAM with plane constraint." In 2011 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2011. http://dx.doi.org/10.1109/icra.2011.5980365.
Full textReports on the topic "MAV"
Roy, Arnab, and Anup Ghosh. Aerodynamic Investigation of Smart Flying Wing MAV. Fort Belvoir, VA: Defense Technical Information Center, November 2010. http://dx.doi.org/10.21236/ada532004.
Full textRoy, Arnab. Aerodynamic Investigation of Smart Flying Wing MAV. Fort Belvoir, VA: Defense Technical Information Center, November 2009. http://dx.doi.org/10.21236/ada511003.
Full textAli, Kamal S. A HILS System for the Simulation of MAV Flight. Fort Belvoir, VA: Defense Technical Information Center, November 2014. http://dx.doi.org/10.21236/ada621913.
Full textMilbank, J., B. Loxton, S. Watkins, and W. H. Melbourne. Replication of Atmospheric Conditions for the Purpose of Testing MAVs. MAV Flight Environment Project. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada473081.
Full textSager, Joshua. UAVs for the Operational Commander: Don't Ground MAV (Manned Aerial Vehicles)! Fort Belvoir, VA: Defense Technical Information Center, May 2009. http://dx.doi.org/10.21236/ada503043.
Full textJoo, James, Gregory Reich, James Elgersma, and Kristopher Aber. Energy-Based Design of Reconfigurable Micro Aerial Vehicle (MAV) Flight Structures. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada581698.
Full textJoo, James J., Gregory W. Reich, and Richard V. Beblo. Energy-Based Design of Reconfigurable Micro Air Vehicle (MAV) Flight Structures. Fort Belvoir, VA: Defense Technical Information Center, February 2014. http://dx.doi.org/10.21236/ada602908.
Full textSpedding, Geoffrey, Frederick Browand, and John McArthur. Wind Tunnel and Water Channel Investigations for Improving MAV Aerodynamic Performance. Fort Belvoir, VA: Defense Technical Information Center, May 2007. http://dx.doi.org/10.21236/ada473928.
Full textHuber, Arthur F., and II. Death by a Thousand Cuts: Micro-Air Vehicles (MAV) in the Service of Air Force Missions. Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada406943.
Full textShpigel, Nahum, Raul Barletta, Ilan Rosenshine, and Marcelo Chaffer. Identification and characterization of Mycobacterium paratuberculosis virulence genes expressed in vivo by negative selection. United States Department of Agriculture, January 2004. http://dx.doi.org/10.32747/2004.7696510.bard.
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