Academic literature on the topic 'Saxe. Landtag'

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Journal articles on the topic "Saxe. Landtag"

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Lipley, Nick. "Safe landing." Nursing Standard 15, no. 34 (May 9, 2001): 11. http://dx.doi.org/10.7748/ns.15.34.11.s27.

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Blažic, Aljaž, Klemen Kotnik, Kristina Nikolovska, Miha Ožbot, Martin Pernuš, Uroš Petkovic, Nika Hrušovar, et al. "Autonomous Landing System: Safe Landing Zone Identification." SNE Simulation Notes Europe 28, no. 4 (December 2018): 165–70. http://dx.doi.org/10.11128/sne.28.tn.10444.

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Jingze, Quan. "From Autorotation to Safe Landing." Procedia Engineering 17 (2011): 46–51. http://dx.doi.org/10.1016/j.proeng.2011.10.006.

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Ploen, S. R., H. Seraji, and C. E. Kinney. "Determination of Spacecraft Landing Footprint for Safe Planetary Landing." IEEE Transactions on Aerospace and Electronic Systems 45, no. 1 (January 2009): 3–16. http://dx.doi.org/10.1109/taes.2009.4805259.

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Fei, Si Miao, Yu Zhao, Jun Yang, and Lin Huo. "Delaunay Triangulation-Based Hazard Area Avoidance for Spacecraft Safe Landing." Applied Mechanics and Materials 44-47 (December 2010): 3721–25. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.3721.

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Safe landing for spacecraft on moon or the other planets is the basic premise for carrying on field survey and sampling research. When it comes to the spacecraft safe landing, the environment the spacecraft confronts becomes more complex. So the selection of landing area would influence the success landing probability of the spacecraft directly. The paper stands in reality and takes the factors such as craters and stones into account abundantly, which affect safe landing for spacecraft. Considering of the radiuses of obstacle spots (craters and stones) and the edge conditions of predestination landing area, we could find out the optimal landing area with the help of Delaunay Triangulation.
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Jung, Youeyun, Seongheon Lee, and Hyochoong Bang. "Digital Terrain Map Based Safe Landing Site Selection for Planetary Landing." IEEE Transactions on Aerospace and Electronic Systems 56, no. 1 (February 2020): 368–80. http://dx.doi.org/10.1109/taes.2019.2913600.

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Blagitko, Bohdan, and Yuriy Mochulsky. "METHOD OF SAFE LANDING THE EMERGENCY QUADROCOPTER." Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska 8, no. 4 (December 16, 2018): 44–47. http://dx.doi.org/10.5604/01.3001.0012.8032.

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By means of mathematical modelling, the main features of emergency landing of quadrocopter are determined. The results of simulate landings of the quadrocopter in cases of failure of one of four pairs of electric motor screw are given. The methods of safe landing of an unmanned quadrocopter in case of failure of one of four pairs of motor-screw are proposed. The basis of the proposed methods is to use a parachuting effect. Parachuting achieved by forced off the power of the motor, which is located at the opposite end of the same yoke as faulty motor. As a result, the vertical speed of the quadrocopter at the time of landing significantly decreases in comparison with the speed of free fall.
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ISOGAYA, Kazuki, Yoh HARIMOTO, and Takateru URAKUBO. "Safe Landing Site Detection for Autonomous Landing of a Tilt-rotor UAV." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2019 (2019): 1P2—N09. http://dx.doi.org/10.1299/jsmermd.2019.1p2-n09.

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Wang, Xiao Jin, Xin Li, Xiao Ling Peng, and Qi Feng Fang. "The Safe Auxiliary System for Aircraft’s Forced Landing." Advanced Materials Research 940 (June 2014): 306–10. http://dx.doi.org/10.4028/www.scientific.net/amr.940.306.

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Aiming at the abnormal landing of the aircraft which caused by the invalidation of the undercarriage, a safe auxiliary system for aircraft’s forced landing is proposed. Firstly, the article introduces the basic compositions and the main functions of each part in the system, and proposes the undercarriage robot based on the aircraft arresting system and also the underground rail system based on the steam-driven catapult principle is put forward. Secondly, the detail introductions on the system’s operating principles for aiding the forced landing of aircraft are given separately from starting, docking, decelerating and separation. At last, an expert control system based on knowledge base is proposed for realizing the calculation of docking position, velocity matching and the optimal decelerating scheme.
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Blahitko, Bogdan, Yuriyi Mochulsky, and Ihor Zaiachuk. "Simulation emergency landing of quadrocopter." Physico-mathematical modelling and informational technologies, no. 26 (December 30, 2017): 7–16. http://dx.doi.org/10.15407/fmmit2017.26.007.

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The necessity of analyzing and modeling process of the emergency landing unmanned quadrocopter is described. Through mathematical modeling the basic features of landing unmanned quadrocopter are considered. The methods of safe landing of an unmanned quadrocopter in case of failure of one of four pairs of motor-screw are proposed. The basis of the proposed methods is to use a parachuting effect. Parachuting achieved by forced off the power of the motor, which is located at the opposite end of the same yoke as faulty motor As a result, quadrocopter vertical speed at the time of landing is reduced significantly and is approaching a relatively safe value.
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Dissertations / Theses on the topic "Saxe. Landtag"

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El-Bakry, Murad Shawky Mohammad. "Acoustic emission monitoring of safe-life landing gear steel structure." Thesis, University of Bristol, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.544413.

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Roback, Vincent Eric. "Characterization and Helicopter Flight Test of 3-D Imaging Flash LIDAR Technology for Safe, Autonomous, and Precise Planetary Landing." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/76845.

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Two flash lidars, integrated from a number of cutting-edge components from industry and NASA, are lab characterized and flight tested under the Autonomous Landing and Hazard Avoidance (ALHAT) project (in its fourth development and field test cycle) which is seeking to develop a guidance, navigation, and control (GNC) and sensing system based on lidar technology capable of enabling safe, precise human-crewed or robotic landings in challenging terrain on planetary bodies under any ambient lighting conditions. The flash lidars incorporate pioneering 3-D imaging cameras based on Indium-Gallium-Arsenide Avalanche Photo Diode (InGaAs APD) and novel micro-electronic technology for a 128 x 128 pixel array operating at 30 Hz, high pulse-energy 1.06 ?m Nd:YAG lasers, and high performance transmitter and receiver fixed and zoom optics. The two flash lidars are characterized on the NASA-Langley Research Center (LaRC) Sensor Test Range, integrated with other portions of the ALHAT GNC system from around the country into an instrument pod at NASA-JPL, integrated onto an Erickson Aircrane Helicopter at NASA-Dryden, and flight tested at the Edwards AFB Rogers dry lakebed over a field of human-made geometric hazards. Results show that the maximum operational range goal of 1000m is met and exceeded up to a value of 1200m, that the range precision goal of 8 cm is marginally met, and that the transmitter zoom optics divergence needs to be extended another eight degrees to meet the zoom goal 6° to 24°. Several hazards are imaged at medium ranges to provide three-dimensional Digital Elevation Map (DEM) information.
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Fitzgerald, Daniel Liam. "Landing site selection for UAV forced landings using machine vision." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16510/.

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A forced landing for an Unmanned Aerial Vehicle (UAV) is required if there is an emergency on board that requires the aircraft to land immediately. Piloted aircraft in the same scenario have a human on board that is able to engage in the complex decision making process involved in the choice of a suitable landing location. If UAVs are to ever fly routinely in civilian airspace, then it is argued that the problem of finding a safe landing location for a forced landing is an important unresolved problem that must be addressed. This thesis presents the results of an investigation into the feasibility of using machine vision techniques to locate candidate landing sites for an autonomous UAV forced landing. The approach taken involves the segmentation of the image into areas that are large enough and free of obstacles; classification of the surface types of these areas; incorporating slope information from readily available digital terrain databases; and finally fusing these maps together using a high level set of simple linguistic fuzzy rules to create a final candidate landing site map. All techniques were evaluated on actual flight data collected from a Cessna 172 flying in South East Queensland. It was shown that the use of existing segmentation approaches from the literature did not provide the outputs required for this problem in the airborne images encountered in the gathered dataset. A simple method was then developed and tested that provided suitably sized landing areas that were free of obstacles and large enough to land. The advantage of this novel approach was that these areas could be extracted from the image directly without solving the difficult task of segmenting the entire image into the individual homogenous objects. A number of neural network classification approaches were tested with the surface types of candidate landing site regions extracted from the aerial images. A number of novel techniques were developed through experimentation with the classifiers that greatly improved upon the classification accuracy of the standard approaches considered. These novel techniques included: automatic generation of suitable output subclasses based on generic output classes of the classifier; an optimisation process for generating the best set of input features for the classifier based on an automated analysis of the feature space; the use of a multi-stage classification approach; and the generation of confidence measures based on the outputs of the neural network classifiers. The final classification result of the system performs significantly better than a human test pilot's classification interpretation of the dataset samples. In summary, the algorithms were able to locate candidate landing site areas that were free of obstacles 92.3 ±2.6% (99% confidence in the result) of the time, with free obstacle candidate landing site areas that were large enough to land in missed only 5.3 ±2.2% (99% confidence in the result) of the time. The neural network classification networks developed were able to classify the surface type of the candidate landing site areas to an accuracy of 93.9 ±3.7% (99% confidence in the result) for areas labelled as Very Certain. The overall surface type classification accuracy for the system (includes all candidate landing sites) was 91.95 ±4.2% (99% confidence in the result). These results were considered to be an excellent result as a human test pilot subject was only able to classify the same data set to an accuracy of 77.24 %. The thesis concludes that the techniques developed showed considerable promise and could be used immediately to enhance the safety of UAV operations. Recommendations include the testing of algorithms over a wider range of datasets and improvements to the surface type classification approach that incorporates contextual information in the image to further improve the classification accuracy.
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Konstantinidis, Konstantinos [Verfasser], Roger [Akademischer Betreuer] Förstner, Roger [Gutachter] Förstner, and Hakan [Gutachter] Kayal. "Holistic design of a GN&C system for safe and precise autonomous landing in very challenging planetary terrains / Konstantinos Konstantinidis ; Gutachter: Roger Förstner, Hakan Kayal ; Akademischer Betreuer: Roger Förstner ; Universität der Bundeswehr München, Fakultät für Luft- und Raumfahrttechnik." Neubiberg : Universitätsbibliothek der Universität der Bundeswehr München, 2019. http://d-nb.info/1193498341/34.

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Wei, Hwang Jyh, and 黃志偉. "A Study on the Safe Operating Envelopes of a Helicopter/Ship Landing Set by Flight Qualities." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/59744187163557853388.

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碩士
國防大學中正理工學院
兵器系統工程研究所
94
In this thesis, the investigation of onboard helicopter flight safe operating envelopes in different kinds of sea conditions set by flying qualities during landing are of particular interest. This thesis includes five key steps: Firstly, incorporating the six degree-of-freedom equations of motion and the steady-state airwake on the flight deck, the helicopter/ship recovery model is established. Second, we analyse the influence of ship speed and wave cycle to the ship motions in different kinds of sea conditions. Third, three kinds of controller are designed by flight quality to simulate the driving technologies and experiences of the three levels of pilot. The Quickness Criteria flight qualities in ADS-33 are introduced to determine the closed loop poles. Fourth, we define the theoretical flight safe operating envelope of onboard helicopter and the simulation processes to determine the theoretical flight safe operating envelope for helicopter landing on a ship. Fifth, the differences of the theoretical flight safe operating envelopes in different kinds of sea conditions and controllers are studied. Finally, we use of Matlab in Virtual reality Toolbox to simulate the scene when a helicopter lands on a ship. This thesis is expected to be helpful to the pilot training, flight safety and analysis of the margin of the helicopter/ship flight safe operating envelope.
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Books on the topic "Saxe. Landtag"

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Neemann, Andreas. Landtag und Politik in der Reaktionszeit: Sachsen 1849/50-1866. Düsseldorf: Droste, 2000.

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Shervin, Freed, and Romano Joseph D, eds. Writing winning business proposals: Your guide to landing the client, making the sale, persuading the boss. New York: McGraw-Hill, 1995.

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How to make hot cold calls: [your guide to making the sale or landing that perfect job]. Toronto: Stoddart Pub., 2001.

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How to act & eat at the same time: The sequel : the do's and don'ts of landing a professional acting job. New York: Limelight Editions, 2004.

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Oliver, Tess. Safe Landing. CreateSpace Independent Publishing Platform, 2011.

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Herron, Rita B. Safe at Hawk's Landing. Harlequin Enterprises, Limited, 2017.

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Herron, Rita B. Safe at Hawk's Landing. 2017.

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Herron, Rita B. Safe at Hawk's Landing. Harlequin Enterprises, Limited, 2018.

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Sae Aerospace Landing Gear Systems Handbook/Alg-Hb. Society of Automotive Engineers, 1985.

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Herron, Rita B. Gunfire on the Ranch: Gunfire on the Ranch / Safe at Hawk's Landing. Harlequin Mills & Boon, Limited, 2017.

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Book chapters on the topic "Saxe. Landtag"

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Papa, Umberto. "Sonar Sensor Model for Safe Landing and Obstacle Detection." In Embedded Platforms for UAS Landing Path and Obstacle Detection, 13–28. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73174-2_2.

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Sevcik, Keith W., Noah Kuntz, and Paul Y. Oh. "Exploring the Effect of Obscurants on Safe Landing Zone Identification." In Selected papers from the 2nd International Symposium on UAVs, Reno, Nevada, U.S.A. June 8–10, 2009, 281–95. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-8764-5_14.

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Sataline, Suzanne. "China’s Slowdown: Can its leaders navigate a soft landing?" In Issues in Global Business: Selections from SAGE Business Researcher, 51–78. 2455 Teller Road, Thousand Oaks California 91320: SAGE Publications, Inc., 2021. http://dx.doi.org/10.4135/9781071823224.n5.

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Castellano, Giovanna, Ciro Castiello, Corrado Mencar, and Gennaro Vessio. "Crowd Detection for Drone Safe Landing Through Fully-Convolutional Neural Networks." In SOFSEM 2020: Theory and Practice of Computer Science, 301–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38919-2_25.

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Lu, Aiying, Wenrui Ding, Jiaxing Wang, and Hongguang Li. "Autonomous Vision-Based Safe Area Selection Algorithm for UAV Emergency Forced Landing." In Communications in Computer and Information Science, 254–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34041-3_37.

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Marcu, Alina, Dragoş Costea, Vlad Licăreţ, Mihai Pîrvu, Emil Sluşanschi, and Marius Leordeanu. "SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data." In Lecture Notes in Computer Science, 43–58. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11012-3_4.

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Cesetti, A., E. Frontoni, A. Mancini, P. Zingaretti, and S. Longhi. "A Vision-Based Guidance System for UAV Navigation and Safe Landing using Natural Landmarks." In Selected papers from the 2nd International Symposium on UAVs, Reno, Nevada, U.S.A. June 8–10, 2009, 233–57. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-8764-5_12.

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Garvit Pandya, Kalpesh, and Kevin Nesamani. "UAV Advancement: From Increasing Endurance, Route Re-Plan and Collision Avoidance, to Safe Landing in Critical Conditions." In Lecture Notes in Mechanical Engineering, 109–20. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5849-3_12.

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Paszkuta, Marcin, Jakub Rosner, Damian Pęszor, Marcin Szender, Marzena Wojciechowska, Konrad Wojciechowski, and Jerzy Paweł Nowacki. "UAV On-Board Emergency Safe Landing Spot Detection System Combining Classical and Deep Learning-Based Segmentation Methods." In Intelligent Information and Database Systems, 467–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73280-6_37.

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Gorwa, Joanna, Anna Fryzowicz, Robert Michnik, Jacek Jurkojć, Jarosław Kabaciński, Katarzyna Jochymczyk-Woźniak, and Lechosław B. Dworak. "Can We Learn from Professional Dancers Safe Landing? Kinematic and Dynamic Analysis of the ‘grand pas de chat’ Performed by Female and Male Dancer." In Innovations in Biomedical Engineering, 233–40. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15472-1_25.

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Conference papers on the topic "Saxe. Landtag"

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Frontoni, Emanuele, Adriano Mancini, and Primo Zingaretti. "UAVs Safe Landing Using Range Images." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-49012.

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In this paper a mixed vision-range based approach, based on Kinect technology, for safe landing of an Unmanned Aerial Vehicle (UAV) is proposed. The guidance system allows a remote user to define target areas from an high resolution aerial or satellite image to determine the waypoints of the navigation trajectory or the landing area. The system is based on our previous work on UAV navigation and landing: a feature-based image matching algorithms finds the natural landmarks and gives feedbacks to the control system for autonomous navigation and landing. An algorithm for safe landing areas detection is proposed, based on the use of 4D RGBD (Red, Green, Blue, Distance) image analysis. The helicopter is required to navigate from an initial to a final position in a partially known environment, to locate a landing area and to land on it. Results show the appropriateness of the vision-based approach that does not require any artificial landmark (e.g., helipad) and is quite robust to occlusions, light variations and high vibrations.
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Jetley, Pranav, P. B. Sujit, and Srikanth Saripalli. "Safe Landing of Fixed Wing UAVs." In 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W). IEEE, 2017. http://dx.doi.org/10.1109/dsn-w.2017.43.

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Kostis, Helen-Nicole. "LRO scouts for safe landing sites." In ACM SIGGRAPH 2009 Computer Animation Fesitval. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1596685.1596767.

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Brady, Tye, and Stephen Paschall. "The challenge of safe lunar landing." In 2010 IEEE Aerospace Conference. IEEE, 2010. http://dx.doi.org/10.1109/aero.2010.5447029.

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Ivanov, Tonislav, Andres Huertas, and John M. Carson. "Probabilistic Hazard Detection for Autonomous Safe Landing." In AIAA Guidance, Navigation, and Control (GNC) Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-5019.

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Guerin, Joris, Kevin Delmas, and Jeremie Guiochet. "Certifying Emergency Landing for Safe Urban UAV." In 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W). IEEE, 2021. http://dx.doi.org/10.1109/dsn-w52860.2021.00020.

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Cesetti, A., E. Frontoni, A. Mancini, and P. Zingaretti. "Autonomous safe landing of a vision guided helicopter." In 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). IEEE, 2010. http://dx.doi.org/10.1109/mesa.2010.5552081.

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Semakov, Sergei L., and Ivan S. Semakov. "Estimating the Probability of Safe Landing for Aircrafts." In 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, 2019. http://dx.doi.org/10.1109/cdc40024.2019.9029359.

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Olson, Isaac J., Alec J. Ten Harmsel, and Ella M. Atkins. "Safe landing planning for an energy-constrained multicopter." In 2014 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2014. http://dx.doi.org/10.1109/icuas.2014.6842379.

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Cai, Yinqiao, Xiaohua Tong, Hongyi Bu, Feng Xie, and Rong Shu. "Fast Scanning LIDAR For Safe Landing On Planets." In 2009 International Conference on Information Engineering and Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/iciecs.2009.5362966.

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Reports on the topic "Saxe. Landtag"

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Garcia-Pardo, Pedro J., Gaurav S. Sukhatme, and James F. Montgomery. Towards Vision-Based Safe Landing for an Autonomous Helicopter. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada593397.

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Doo, Johnny. Unsettled Issues Concerning the Opportunities and Challenges of eVTOL Applications during a Global Pandemic. SAE International, October 2020. http://dx.doi.org/10.4271/epr2020022.

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Electric vertical takeoff and landing (eVTOL) aircraft technology has developed beyond the traditional aviation industry and now influences the creation of new and novel transportation applications. Some experts even suggest on-demand eVTOL logistics capabilities could be harnessed by crisis response teams to c ombat a future pandemic. The lessons of the COVID-19 crisis highlighted the challenges of managing a global pandemic response due to the difference in regional and local resources, culture, and political systems. Although there may not be a uniform crisis management strategy that the world can agree on, next-generation vertical flight vehicles could be used to distribute limited medical equipment, supplies, and personnel to hot spots faster than conventional aircraft or ground vehicles. However, creating this capability is not easy. This SAE EDGE™ Research Report by Johnny Doo addresses the opportunities and challenges of establishing an eVTOL fleet, including deployment, supporting infrastructure, and fleet management.
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Doo, Johnny. Unsettled Issues Concerning eVTOL for Rapid-response, On-demand Firefighting. SAE International, August 2021. http://dx.doi.org/10.4271/epr2021017.

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Recent advancements of electric vertical take-off and landing (eVTOL) aircraft have generated significant interest within and beyond the traditional aviation industry, and many novel applications have been identified and are in development. One promising application for these innovative systems is in firefighting, with eVTOL aircraft complementing current firefighting capabilities to help save lives and reduce fire-induced damages. With increased global occurrences and scales of wildfires—not to mention the issues firefighters face during urban and rural firefighting operations daily—eVTOL technology could offer timely, on-demand, and potentially cost-effective aerial mobility capabilities to counter these challenges. Early detection and suppression of wildfires could prevent many fires from becoming large-scale disasters. eVTOL aircraft may not have the capacity of larger aerial assets for firefighting, but targeted suppression, potentially in swarm operations, could be valuable. Most importantly, on-demand aerial extraction of firefighters can be a crucial benefit during wildfire control operations. Aerial firefighter dispatch from local fire stations or vertiports can result in more effective operations, and targeted aerial fire suppression and civilian extraction from high-rise buildings could enhance capabilities significantly. There are some challenges that need to be addressed before the identified capabilities and benefits are realized at scale, including the development of firefighting-specific eVTOL vehicles; sense and avoid capabilities in complex, smoke-inhibited environments; autonomous and remote operating capabilities; charging system compatibility and availability; operator and controller training; dynamic airspace management; and vehicle/fleet logistics and support. Acceptance from both the first-responder community and the general public is also critical for the successful implementation of these new capabilities. The purpose of this report is to identify the benefits and challenges of implementation, as well as some of the potential solutions. Based on the rapid development progress of eVTOL aircraft and infrastructures with proactive community engagement, it is envisioned that these challenges can be addressed soon. NOTE: SAE EDGE™ Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE™ Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. These reports are not intended to resolve the challenges they identify or close any topic to further scrutiny.
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