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1

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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Wang, Yunjie, Chen Jiang, Yuwen Zhang, and Haowen Wang. "Helicopter Safe Landing Trajectory after Main Rotor Actuator Failures." Applied Sciences 10, no. 8 (April 23, 2020): 2917. http://dx.doi.org/10.3390/app10082917.

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Main rotor actuator failure leads to catastrophic accidents for single main rotor helicopters. This paper focuses on safe landing trajectories after an actuator is locked in place by the remaining actuators, without introducing other control inputs. A general swashplate geometry is described, and new reconfiguration solutions for the control mixer are presented. The safe landing trajectories are obtained by formulating a nonlinear optimal control problem based on a nonlinear helicopter dynamic model and geometry constraints due to actuator failure. Safe landing trajectory results are shown with various initial forward velocities of all actuator failure cases. The safe initial speed boundaries are also explored by employing speed sweeps.
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12

Arita, Isao, and Donald P. Francis. "Safe landing for global polio eradication: A perspective." Vaccine 29, no. 48 (November 2011): 8827–34. http://dx.doi.org/10.1016/j.vaccine.2011.09.059.

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13

Howard, A., and H. Seraji. "Multi-sensor terrain classification for safe spacecraft landing." IEEE Transactions on Aerospace and Electronic Systems 40, no. 4 (October 2004): 1122–31. http://dx.doi.org/10.1109/taes.2004.1386868.

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14

Lv, Zhenhao, Lin Huo, and Mingfa Shen. "Four-Rotor UAV Safe Landing Risk Assessment Method." IOP Conference Series: Materials Science and Engineering 677 (December 10, 2019): 032005. http://dx.doi.org/10.1088/1757-899x/677/3/032005.

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15

Patterson, Timothy, Sally McClean, Philip Morrow, Gerard Parr, and Chunbo Luo. "Timely autonomous identification of UAV safe landing zones." Image and Vision Computing 32, no. 9 (September 2014): 568–78. http://dx.doi.org/10.1016/j.imavis.2014.06.006.

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16

Suhir, Ephraim. "Braking power required for safe landing: Probabilistic approach." Acta Astronautica 187 (October 2021): 394–96. http://dx.doi.org/10.1016/j.actaastro.2021.06.035.

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17

Takahashi, Marc D., Avi Abershitz, Rafael Rubinets, and Matthew S. Whalley. "Evaluation of Safe Landing Area Determination Algorithms for Autonomous Rotorcraft Using Site Benchmarking." Journal of the American Helicopter Society 58, no. 3 (July 1, 2013): 1–13. http://dx.doi.org/10.4050/jahs.58.032007.

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An important element of rotorcraft UAV operations is safe landing area determination (SLAD), which is the ability to select desirable landing or load placement areas at unprepared sites. Effectively and reliably accomplishing this task would greatly enhance high-level autonomous capabilities in many operations such as search and rescue and resupply. This paper presents the results of quantitatively evaluating two SLAD algorithms using a new test method that incorporates a detailed survey of the test sites. These survey sites act as benchmarks against which the SLAD methods are compared. One SLAD algorithm is a new approach that uses laser range data to detect a set of potential landing points and uses fuzzy logic to rank them based on surface roughness, size, and terrain slope metrics. The second algorithm uses laser range data to optimize a performance index, based on sliding window statistics of surface slope and roughness over the landing zone, to select potential landing points. Flight-test data were collected at six sites ranging from simple to complex with multiple runs at each site. Both methods are evaluated based on their true-positive and false-positive rates and the consistency of their landing site selection.
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18

Kiselev, M. A., S. V. Levitsky, and V. A. Podobedov. "Safe engine-out landing of a passenger plane under the wind conditions." Civil Aviation High Technologies 22, no. 5 (October 28, 2019): 76–84. http://dx.doi.org/10.26467/2079-0619-2019-22-5-76-84.

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The engine failure, according to the flight safety inspection of the Federal Air Transport Agency, caused 4 of 6 aviation accidents in 2017, including 2 air disasters. In general, from 2001 to 2017, events related to the engine failure became the second most frequent cause of aviation accidents (13% of aviation accidents and 12% of air disasters). The worst consequences are associated with the engine failure at the most difficult and crucial stage of the flight landing. For example, it was the engine failure on the final approach that caused the crash of the L-410UVP-E20 RA-67047 aircraft near the Nelkan airfield on November 15, 2017. The article discusses a limiting situation in some sense – the landing of an aircraft with all failed engines under the wind conditions. The authors have proposed for this situation a methodology of calculating the landing approach of an aircraft under the wind conditions in case of failure of all engines of its power plant to an aerodrome equipped with an outer marker. The key features of such methodology are, firstly, the absence of necessity to link the path to the landmarks in the landing aerodrome area, and, secondly, the simplicity of the synthesis and the implementation of the aircraft control based on the proposed methodology during landing in both manual and director or automatic modes. To calculate the approach using the proposed methodology, the crew only needs to know the following values: the minimum drag airspeed on final approach, the height of the flight over an outer marker before landing and spiral approach leg. The content of the methodology in the article is illustrated by the results of the approach calculation when all of the main engines of the Russian short-medium-range MS-21 aircraft fail under the wind conditions.
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19

Johnson, Andrew E., Allan R. Klumpp, James B. Collier, and Aron A. Wolf. "Lidar-Based Hazard Avoidance for Safe Landing on Mars." Journal of Guidance, Control, and Dynamics 25, no. 6 (November 2002): 1091–99. http://dx.doi.org/10.2514/2.4988.

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20

Baek, Seung-Jun, Jong-Ho Park, Ji-Hyoung Ryu, Shin-Teak Lim, and Kil-To Chong. "Safe landing control of unmanned Quad-rotor Emergency Procedures." Journal of the Korea Academia-Industrial cooperation Society 15, no. 4 (April 30, 2014): 2335–42. http://dx.doi.org/10.5762/kais.2014.15.4.2335.

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21

Garcia-Pardo, Pedro J., Gaurav S. Sukhatme, and James F. Montgomery. "Towards vision-based safe landing for an autonomous helicopter." Robotics and Autonomous Systems 38, no. 1 (January 2002): 19–29. http://dx.doi.org/10.1016/s0921-8890(01)00166-x.

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22

Yu-Fei Shen, Z. Rahman, D. Krusienski, and Jiang Li. "A Vision-Based Automatic Safe Landing-Site Detection System." IEEE Transactions on Aerospace and Electronic Systems 49, no. 1 (January 2013): 294–311. http://dx.doi.org/10.1109/taes.2013.6404104.

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23

Li, Xiaoming. "A Software Scheme for UAV's Safe Landing Area Discovery." AASRI Procedia 4 (2013): 230–35. http://dx.doi.org/10.1016/j.aasri.2013.10.035.

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24

Shimkin, Pavel E., Alexander I. Baskakov, Aleksey A. Komarov, and Min-Ho Ka. "Safe Helicopter Landing on Unprepared Terrain Using Onboard Interferometric Radar." Sensors 20, no. 8 (April 24, 2020): 2422. http://dx.doi.org/10.3390/s20082422.

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This letter proposes a radar interferometric survey system for the ground surface of helicopter landing sites. This system generates high-quality three-dimensional terrain surface topography data and estimates the slope of the site with the required accuracy. This study presents the processing algorithms of the radar system for safe helicopter landing using an interferometric method and also demonstrates the efficiency of the proposed approach based on computer simulation results. The results of the calculated potential accuracy characteristics of such a system are presented, as well as one of the variants of the algorithmic implementation of a simulation computer model implemented on MATLAB. Visual results of modeling using an example of a helicopter landing on a non-uniform surface relief similar to a real case are shown. The study focuses on the simulation of a unique on-board radar system, which allows helicopters to land on an unprepared site with a high degree of safety, having previously determined the presence of dangerous irregularities, inclines, foreign objects, and mechanisms on the site.
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25

Blahitko, Bohdan, Yuriy Mochulsky, and Ihor Zayachuk. "Choice of the optimal mode of control of the process of emergency landing of an unmanned quadcopter." Physico-mathematical modelling and informational technologies, no. 32 (July 6, 2021): 46–51. http://dx.doi.org/10.15407/fmmit2021.32.085.

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Peculiarities of the process of emergency landing of an unmanned quadcopter have been studied by mathematical modeling. The method of landing an unmanned quadcopter in case of failure of one of the four pairs of electric motor-propeller is proposed. The basis of this technique is the application of the parachuting effect. Parachuting is achieved by forcibly turning off the power of the motor, which is located at the opposite end of the same traverse as the faulty motor. As a result, the vertical speed of the unmanned quadcopter at the time of landing is significantly reduced and approaches a relatively safe value.
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26

Runge, Alexandra, and Guido Grosse. "Comparing Spectral Characteristics of Landsat-8 and Sentinel-2 Same-Day Data for Arctic-Boreal Regions." Remote Sensing 11, no. 14 (July 22, 2019): 1730. http://dx.doi.org/10.3390/rs11141730.

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The Arctic-Boreal regions experience strong changes of air temperature and precipitation regimes, which affect the thermal state of the permafrost. This results in widespread permafrost-thaw disturbances, some unfolding slowly and over long periods, others occurring rapidly and abruptly. Despite optical remote sensing offering a variety of techniques to assess and monitor landscape changes, a persistent cloud cover decreases the amount of usable images considerably. However, combining data from multiple platforms promises to increase the number of images drastically. We therefore assess the comparability of Landsat-8 and Sentinel-2 imagery and the possibility to use both Landsat and Sentinel-2 images together in time series analyses, achieving a temporally-dense data coverage in Arctic-Boreal regions. We determined overlapping same-day acquisitions of Landsat-8 and Sentinel-2 images for three representative study sites in Eastern Siberia. We then compared the Landsat-8 and Sentinel-2 pixel-pairs, downscaled to 60 m, of corresponding bands and derived the ordinary least squares regression for every band combination. The acquired coefficients were used for spectral bandpass adjustment between the two sensors. The spectral band comparisons showed an overall good fit between Landsat-8 and Sentinel-2 images already. The ordinary least squares regression analyses underline the generally good spectral fit with intercept values between 0.0031 and 0.056 and slope values between 0.531 and 0.877. A spectral comparison after spectral bandpass adjustment of Sentinel-2 values to Landsat-8 shows a nearly perfect alignment between the same-day images. The spectral band adjustment succeeds in adjusting Sentinel-2 spectral values to Landsat-8 very well in Eastern Siberian Arctic-Boreal landscapes. After spectral adjustment, Landsat and Sentinel-2 data can be used to create temporally-dense time series and be applied to assess permafrost landscape changes in Eastern Siberia. Remaining differences between the sensors can be attributed to several factors including heterogeneous terrain, poor cloud and cloud shadow masking, and mixed pixels.
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27

Zhang, Xi Liang, Xin Ming Gao, Wen Xiang Gao, Qing Yao, Bo Quan Li, and Hai Bin Pan. "Development of Quick and Safe High Building Escape Method and Machine." Key Engineering Materials 464 (January 2011): 354–57. http://dx.doi.org/10.4028/www.scientific.net/kem.464.354.

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With the socio-economic development and increasingly higher buildings, public concern is growing over high-rise fire evacuation issues. Considering the shortcomings of the existing escape device and methods, such as difficult speed adjustment, high demand for escaping skill, difficult unification of speediness and security, poor recycling etc, an integrated speed limited escape method is proposed by analyzing kinetics of high-rise evacuation. On one hand, the escape acceleration is limited by using centrifugal mechanism, on the other, according to the building height and people's weight, the landing speed of people is restricted by controlling the break height and braking force of brakes. The developed escape machine use the micro-controller to monitor the height and speed real-timely, control the brake automatically and start rope recycling mechanism after the landing, which achieves quick and safe escape. The experiment shows that when heavy object weighing around 75kg drops from a height of 14. 6m, the maximum speed reaches 3m/s, the landing speed is less than 0.5m/s and the falling time is within 7.5s, which achieves better escaping effect.
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28

MEHEDI, Ibrahim M., and Takashi KUBOTA. "A Trajectory Generation Scheme for Precise and Safe Lunar Landing." Journal of Space Engineering 4, no. 1 (2011): 1–13. http://dx.doi.org/10.1299/spacee.4.1.

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29

Schellinger, Peter D. "TREVO Pilot: An Effective Flight with a Safe Landing No!" Cerebrovascular Diseases 36, no. 3 (2013): 226–27. http://dx.doi.org/10.1159/000354809.

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30

Jiang, Xiuqiang, Shuang Li, and Ting Tao. "Innovative hazard detection and avoidance guidance for safe lunar landing." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 230, no. 11 (January 15, 2016): 2086–103. http://dx.doi.org/10.1177/0954410015625671.

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31

Sevcik, Keith W., Noah Kuntz, and Paul Y. Oh. "Exploring the Effect of Obscurants on Safe Landing Zone Identification." Journal of Intelligent and Robotic Systems 57, no. 1-4 (August 28, 2009): 281–95. http://dx.doi.org/10.1007/s10846-009-9358-2.

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32

Yu, Yushu, and Xilun Ding. "Safe Landing Analysis of a Quadrotor Aircraft With Two Legs." Journal of Intelligent & Robotic Systems 76, no. 3-4 (March 23, 2014): 527–37. http://dx.doi.org/10.1007/s10846-014-0044-7.

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33

Rabah, Mohammed, Ali Rohan, Muhammad Talha, Kang-Hyun Nam, and Sung Ho Kim. "Autonomous Vision-based Target Detection and Safe Landing for UAV." International Journal of Control, Automation and Systems 16, no. 6 (December 2018): 3013–25. http://dx.doi.org/10.1007/s12555-018-0017-x.

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34

Kaljahi, Maryam Asadzadeh, Palaiahnakote Shivakumara, Mohd Yamani Idna Idris, Mohammad Hossein Anisi, Tong Lu, Michael Blumenstein, and Noorzaily Mohamed Noor. "An automatic zone detection system for safe landing of UAVs." Expert Systems with Applications 122 (May 2019): 319–33. http://dx.doi.org/10.1016/j.eswa.2019.01.024.

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35

Zhang, Xin, and Yu Long Li. "Simulation of Pylon Emergency Break-Away of Large Commercial Aircraft." Key Engineering Materials 525-526 (November 2012): 257–60. http://dx.doi.org/10.4028/www.scientific.net/kem.525-526.257.

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Most large commercial aircraft engines are hanged below wings. When the aircraft makes an emergent landing process, at the same time, the landing gear cannot work or the centrifugal force becomes unbalanced as the fan blades fly away. In order to ensure safe landing, overall tank crack and fuel leak should be avoid at the crack area. Access to a large number of emergent landing accidents, emergency break-away is essential. In this paper, the break-away position, which locates between the pylon and the wing, is mainly considered. We choose true size in the models of wing, pylon and engine. High strength steel is employed for the bolts which connect pylon and wing. Earth and lake are employed concrete and pure water respectively. SPH method is applied in the case that the aircraft lands on the lake. Whats more, different landing cases have been analyzed. By constantly adjusting the size of pins, a set of conclusions of the emergent landing problem are obtained in the simulation process. The locus of centroid of engine and pylon is obtained, and then the condition which may achieve safe flight and avoid the secondary damage to wings can be chosen, from which we can provide reasonable designing strength of the wing box and accordingly provide reference for the design of aircraft structure.
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36

Rodgers, Douglas J., Carolyn M. Ernst, Olivier S. Barnouin, Scott L. Murchie, and Nancy L. Chabot. "Methodology for finding and evaluating safe landing sites on small bodies." Planetary and Space Science 134 (December 2016): 71–81. http://dx.doi.org/10.1016/j.pss.2016.10.010.

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37

Váňa, Petr, Jakub Sláma, and Jan Faigl. "Surveillance planning with safe emergency landing guarantee for fixed-wing aircraft." Robotics and Autonomous Systems 133 (November 2020): 103644. http://dx.doi.org/10.1016/j.robot.2020.103644.

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38

White, Peta E., Shahid Ullah, Alex Donaldson, Leonie Otago, Natalie Saunders, Maria Romiti, and Caroline F. Finch. "Encouraging junior community netball players to learn correct safe landing technique." Journal of Science and Medicine in Sport 15, no. 1 (January 2012): 19–24. http://dx.doi.org/10.1016/j.jsams.2011.08.004.

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39

Bang, Hyochoong. "Recent advances in guidance, navigation and control for safe planetary landing." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 230, no. 11 (August 2016): 2009. http://dx.doi.org/10.1177/0954410016661666.

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40

Shuang, Li, and Zhang Liu. "Autonomous navigation and guidance scheme for precise and safe planetary landing." Aircraft Engineering and Aerospace Technology 81, no. 6 (October 16, 2009): 516–21. http://dx.doi.org/10.1108/00022660910997810.

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41

Moon, Yaejin, and J. J. Sosnoff. "Safe Landing Strategies During a Fall: Systemic Review and Meta-Analysis." Archives of Physical Medicine and Rehabilitation 97, no. 10 (October 2016): e143. http://dx.doi.org/10.1016/j.apmr.2016.08.444.

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42

Moon, Yaejin, and Jacob J. Sosnoff. "Safe Landing Strategies During a Fall: Systematic Review and Meta-Analysis." Archives of Physical Medicine and Rehabilitation 98, no. 4 (April 2017): 783–94. http://dx.doi.org/10.1016/j.apmr.2016.08.460.

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43

Talha, Muhammad, Furqan Asghar, Ali Rohan, Mohammed Rabah, and Sung Ho Kim. "Fuzzy Logic-Based Robust and Autonomous Safe Landing for UAV Quadcopter." Arabian Journal for Science and Engineering 44, no. 3 (June 6, 2018): 2627–39. http://dx.doi.org/10.1007/s13369-018-3330-z.

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44

Jiang, Xiuqiang, Shuang Li, and Ting Tao. "Innovative hazard detection and avoidance strategy for autonomous safe planetary landing." Acta Astronautica 126 (September 2016): 66–76. http://dx.doi.org/10.1016/j.actaastro.2016.02.028.

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45

Arslantaş, Yunus Emre, Thimo Oehlschlägel, and Marco Sagliano. "Safe landing area determination for a Moon lander by reachability analysis." Acta Astronautica 128 (November 2016): 607–15. http://dx.doi.org/10.1016/j.actaastro.2016.08.013.

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46

Xiao, Xueming, Meibao Yao, Hutao Cui, and Yuegang Fu. "Safe Mars landing strategy: Towards lidar-based high altitude hazard detection." Advances in Space Research 63, no. 8 (April 2019): 2535–50. http://dx.doi.org/10.1016/j.asr.2019.01.005.

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47

Duong, Tuan A., and Vu A. Duong. "Real Time Adaptive Color Segmentation for Mars Landing Site Identification." Journal of Advanced Computational Intelligence and Intelligent Informatics 7, no. 3 (October 20, 2003): 289–93. http://dx.doi.org/10.20965/jaciii.2003.p0289.

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Real time identification of planetary landing sites is of significant importance in NASA’s precision landing program. As a lander descends towards a potential landing site, it is important to determine whether or not the potential site is free of debris to allow safe landing. This requires real time processing of images acquired by the lander during the approach, so that appropriate navigational corrections can be made to direct the lander to a safe landing zone. In this paper we discuss an adaptive color segmentation technique that can aid in identifying safe landing terrain, and terrain that may be rock covered, dusty, and unfavorable to land. A new learning architecture that allows real time adaptation in a dynamically changing environment as the lander approaches a landing site is evaluated. Results indicate that a real time adaptive color segmentation approach is sufficient to identify safe landing zones. The paper also discusses the time required for adaptation, a critical parameter during an actual descent. The simulation-based case study reported in this paper is a primary step toward developing a more realistic case for landing site identification.
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48

Sarkisov, Yuri S., Grigoriy A. Yashin, Evgeny V. Tsykunov, and Dzmitry Tsetserukou. "DroneGear: A Novel Robotic Landing Gear With Embedded Optical Torque Sensors for Safe Multicopter Landing on an Uneven Surface." IEEE Robotics and Automation Letters 3, no. 3 (July 2018): 1912–17. http://dx.doi.org/10.1109/lra.2018.2806080.

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49

KUGA, Tomoki, Hirohisa KOJIMA, and Seisuke FUKUDA. "Study on Image-based Safe Landing Areas Detection for Smart Lunar Lander." JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 64, no. 6 (2016): 303–9. http://dx.doi.org/10.2322/jjsass.64.303.

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Anderson, Christopher. "Congress prepares compromise plan to save Landsat, lower costs and improve service." Nature 359, no. 6394 (October 1992): 353. http://dx.doi.org/10.1038/359353a0.

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