Literatura académica sobre el tema "UAV collision avoidance"
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Artículos de revistas sobre el tema "UAV collision avoidance"
Shan, Lin, Huan-Bang Li, Ryu Miura, Takashi Matsuda y Takeshi Matsumura. "A Novel Collision Avoidance Strategy with D2D Communications for UAV Systems". Drones 7, n.º 5 (22 de abril de 2023): 283. http://dx.doi.org/10.3390/drones7050283.
Texto completoChen, C. W., P. H. Hsieh y W. H. Lai. "APPLICATION OF DECISION TREE ON COLLISION AVOIDANCE SYSTEM DESIGN AND VERIFICATION FOR QUADCOPTER". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (23 de agosto de 2017): 71–75. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-71-2017.
Texto completoTan, Chee Yong, Sunan Huang, Kok Kiong Tan, Rodney Swee Huat Teo, Wen Qi Liu y Feng Lin. "Collision Avoidance Design on Unmanned Aerial Vehicle in 3D Space". Unmanned Systems 06, n.º 04 (octubre de 2018): 277–95. http://dx.doi.org/10.1142/s2301385018500115.
Texto completoHe, Renke, Ruixuan Wei y Qirui Zhang. "UAV autonomous collision avoidance approach". Automatika 58, n.º 2 (3 de abril de 2017): 195–204. http://dx.doi.org/10.1080/00051144.2017.1388646.
Texto completoEt.al, Jung Kyu Park. "UAV Collision Detection Algorithm based on Formulafor Fast Calculation". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, n.º 6 (10 de abril de 2021): 452–56. http://dx.doi.org/10.17762/turcomat.v12i6.1869.
Texto completoH. Sawalmeh, Ahmad y Noor Shamsiah Othman. "An Overview of Collision Avoidance Approaches and Network Architecture of Unmanned Aerial Vehicles (UAVs)". International Journal of Engineering & Technology 7, n.º 4.35 (30 de noviembre de 2018): 924. http://dx.doi.org/10.14419/ijet.v7i4.35.27395.
Texto completoLam, T. Mung, Max Mulder y M. M. (René) van Paassen. "Haptic Interface For UAV Collision Avoidance". International Journal of Aviation Psychology 17, n.º 2 (17 de abril de 2007): 167–95. http://dx.doi.org/10.1080/10508410701328649.
Texto completoBerdonosov, V. D., A. A. Zivotova, Zaw Htet Naing y D. O. Zhuravlev. "Speed Approach for UAV Collision Avoidance". Journal of Physics: Conference Series 1015 (mayo de 2018): 052002. http://dx.doi.org/10.1088/1742-6596/1015/5/052002.
Texto completoPeng, Zhihong y Zhimin Chen. "Ground Target Tracking and Collision Avoidance for UAV Based Guidance Vector Field". Journal of Advanced Computational Intelligence and Intelligent Informatics 19, n.º 2 (20 de marzo de 2015): 277–83. http://dx.doi.org/10.20965/jaciii.2015.p0277.
Texto completoHARUN, MOHAMAD HANIFF, SHAHRUM SHAH ABDULLAH, MOHD SHAHRIEEL MOHD ARAS, MOHD BAZLI BAHAR y FARIZ ALI @IBRAHIM. "3D COLLISION AVOIDANCE SYSTEM FOR UNMANNED AERIAL VEHICLE (UAV) WITH DECENTRALIZED APPROACH". IIUM Engineering Journal 24, n.º 2 (4 de julio de 2023): 373–90. http://dx.doi.org/10.31436/iiumej.v24i2.2803.
Texto completoTesis sobre el tema "UAV collision avoidance"
Patel, Amir. "UAV collision avoidance: a specific acceleration matching approach". Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/11582.
Texto completoIncludes bibliographical references.
An increased level of autonomy is required for future Unmanned Aerial Vehicle (UAV) missions. One of the technologies required for this to occur is an adequate sense and avoid system to enable the UAV to detect threat aircraft and take evasive action if required. This thesis investigates a collision avoidance system to satisfy a significant portion of the requirements for sense and avoid. It was hypothesised that a recently published method of UAV guidance, Specific Acceleration Matching (SAM) Control, could address the shortcomings of the current implementations. Additionally, a novel algorithm, the Linear 3D Velocity Guidance Control Algorithm (3DVGC) was developed to address the particular requirements of UAV collision avoidance.
Lee, Hua. "High-Precision Geolocation Algorithms for UAV and UUV Applications in Navigation and Collision Avoidance". International Foundation for Telemetering, 2008. http://hdl.handle.net/10150/606155.
Texto completoUUV homing and docking and UAV collision avoidance are two seemingly separate research topics for different applications. Upon close examination, these two are a pair of dual problems, with interesting correspondences and commonality. In this paper, we present the theoretical analysis, signal processing, and the field experiments of these two algorithms in UAV and UUV applications in homing and docking as well as collision avoidance.
Brandt, Adam M. "Haptic Collision Avoidance for a Remotely Operated Quadrotor UAV in Indoor Environments". Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd3177.pdf.
Texto completoJaroń, Piotr y Mateusz Kucharczyk. "Vision System Prototype for UAV Positioning and Sparse Obstacle Detection". Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4663.
Texto completoVision systems are employed more and more often in navigation of ground and air robots. Their greatest advantages are: low cost compared to other sensors, ability to capture large portion of the environment very quickly on one image frame, and their light weight, which is a great advantage for air drone navigation systems. In the thesis the problem of UAV (Unmanned Aerial Vehicle) is considered. Two different issues are tackled. First is determining the vehicles position using one down-facing or two front-facing cameras, and the other is sparse obstacle detection. Additionally, in the thesis, the camera calibration process and camera set up for navigation is discussed. Error causes and types are analyzed.
Klaus, Robert Andrew. "Development of a Sense and Avoid System for Small Unmanned Aircraft Systems". BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3761.
Texto completoDegen, Shane C. "Reactive image-based collision avoidance system for unmanned aircraft systems". Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/46969/1/Shane_Degen_Thesis.pdf.
Texto completoCosentino, Andrea. "Obstacle detection & collision avoidance system for an Unmanned Aerial Vehicle with real time trajectory generation". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.
Buscar texto completoLindsten, Fredrik. "Angle-only based collision risk assessment for unmanned aerial vehicles". Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15757.
Texto completoThis thesis investigates the crucial problem of collision avoidance for autonomous vehicles. An anti-collision system for an unmanned aerial vehicle (UAV) is studied in particular. The purpose of this system is to make sure that the own vehicle avoids collision with other aircraft in mid-air. The sensor used to track any possible threat is for a UAV limited basically to a digital video camera. This sensor can only measure the direction to an intruding vehicle, not the range, and is therefore denoted an angle-only sensor. To estimate the position and velocity of the intruder a tracking system, based on an extended Kalman filter, is used. State estimates supplied by this system are very uncertain due to the difficulties of angle-only tracking. Probabilistic methods are therefore required for risk calculation. The risk assessment module is one of the essential parts of the collision avoidance system and has the purpose of continuously evaluating the risk for collision. To do this in a probabilistic way, it is necessary to assume a probability distribution for the tracking system output. A common approach is to assume normality, more out of habit than on actual grounds. This thesis investigates the normality assumption, and it is found that the tracking output rapidly converge towards a good normal distribution approximation. The thesis furthermore investigates the actual risk assessment module to find out how the collision risk should be determined. The traditional way to do this is to focus on a critical time point (time of closest point of approach, time of maximum collision risk etc.). A recently proposed alternative is to evaluate the risk over a horizon of time. The difference between these two concepts is evaluated. An approximate computational method for integrated risk, suitable for real-time implementations, is also validated. It is shown that the risk seen over a horizon of time is much more robust to estimation accuracy than the risk from a critical time point. The integrated risk also gives a more intuitively correct result, which makes it possible to implement the risk assessment module with a direct connection to specified aviation safety rules.
Boček, Michal. "Rozšíření řídicího systému modelu letadla Skydog o podporu vzdáleného a samočinného řízení Android aplikací". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236091.
Texto completoLai, John. "A hidden Markov model and relative entropy rate approach to vision-based dim target detection for UAV sense-and-avoid". Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/34462/1/John_Lai_Thesis.pdf.
Texto completoLibros sobre el tema "UAV collision avoidance"
Sense and avoid in UAS: Research and applications. Hoboken, NJ: Wiley, 2012.
Buscar texto completoCapítulos de libros sobre el tema "UAV collision avoidance"
Pedro, Dário, André Mora, João Carvalho, Fábio Azevedo y José Fonseca. "ColANet: A UAV Collision Avoidance Dataset". En IFIP Advances in Information and Communication Technology, 53–62. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45124-0_5.
Texto completoSong, Xiao Ou. "Dynamic MAC Protocol Designed for UAV Collision Avoidance System". En Advances in Intelligent Systems and Computing, 489–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61566-0_44.
Texto completoZhao, Jiannan, Xingzao Ma, Qinbing Fu, Cheng Hu y Shigang Yue. "An LGMD Based Competitive Collision Avoidance Strategy for UAV". En IFIP Advances in Information and Communication Technology, 80–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19823-7_6.
Texto completoPark, Jung Kyu y Jaeho Kim. "Collision Avoidance Method for UAV Using A* Search Algorithm". En Advances in Intelligent, Interactive Systems and Applications, 186–93. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02804-6_25.
Texto completoFang, Bin y Tefang Chen. "Research on UAV Collision Avoidance Strategy Considering Threat Levels". En Advances in Intelligent Systems and Computing, 887–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54927-4_85.
Texto completoLin, Lin, Yao Cheng, Liu Zhiyong, Liu Yinchuan y Li Nisi. "A UAV Collision Avoidance System Based on ADS-B". En Lecture Notes in Electrical Engineering, 159–67. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-7423-5_16.
Texto completoWen, Ma y Liang Jin. "Research on Autonomous Collision Avoidance Method of Cooperative UAV". En Lecture Notes in Electrical Engineering, 2414–22. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_235.
Texto completoPęszor, Damian, Marzena Wojciechowska, Konrad Wojciechowski y Marcin Szender. "Fast Moving UAV Collision Avoidance Using Optical Flow and Stereovision". En Intelligent Information and Database Systems, 572–81. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54430-4_55.
Texto completoLancovs, Dmitrijs. "Introducing Fixed-Wing Aircraft into Cooperative UAV Collision Avoidance System". En Lecture Notes in Networks and Systems, 392–99. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74454-4_38.
Texto completoChi, Pei, Xuan Zhang, Kun Wu, Lili Zheng, Jiang Zhao y Yingxun Wang. "Distributed Formation Control and Collision Avoidance for Heterogeneous UAV Swarm". En Lecture Notes in Electrical Engineering, 1837–48. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_180.
Texto completoActas de conferencias sobre el tema "UAV collision avoidance"
Merchant, John y Frank Pope. "Micro UAV collision avoidance". En Defense and Security Symposium, editado por Grant R. Gerhart, Douglas W. Gage y Charles M. Shoemaker. SPIE, 2007. http://dx.doi.org/10.1117/12.718984.
Texto completoKwag, Young K., Min S. Choi, Chul H. Jung y Kwang Y. Hwang. "Collision Avoidance Radar for UAV". En 2006 CIE International Conference on Radar. IEEE, 2006. http://dx.doi.org/10.1109/icr.2006.343231.
Texto completoKwag, Young K. y Chul H. Chung. "UAV based collision avoidance radar sensor". En 2007 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/igarss.2007.4422877.
Texto completoTony, Lima Agnel, Debasish Ghose y Animesh Chakravarthy. "Avoidance maps: A new concept in UAV collision avoidance". En 2017 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2017. http://dx.doi.org/10.1109/icuas.2017.7991382.
Texto completoTony, Lima A., Debasish Ghose y Animesh Chakravarthy. "Precision UAV Collision Avoidance Using Computationally Efficient Avoidance Maps". En 2018 AIAA Guidance, Navigation, and Control Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-0875.
Texto completoKay, Jacob, Yutaka Ikeda y Ba Nguyen. "Distributed Development of Automatic Air Collision Avoidance System Using PC-based Simulation". En 1st UAV Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3475.
Texto completoGan, Xusheng, Yarong Wu, Pingni Liu y Qian Wang. "Dynamic Collision Avoidance Zone Modeling Method Based on UAV Emergency Collision Avoidance Trajectory". En 2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS). IEEE, 2020. http://dx.doi.org/10.1109/icaiis49377.2020.9194915.
Texto completoLin, Zijie, Lina Castano y Huan Xu. "UAV Collision Avoidance with Varying Trigger Time". En 2020 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 2020. http://dx.doi.org/10.1109/icuas48674.2020.9213955.
Texto completoKrämer, Marc Steven y Klaus-Dieter Kuhnert. "Multi-Sensor Fusion for UAV Collision Avoidance". En the 2018 2nd International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3185066.3185081.
Texto completoZsedrovits, Tamas, Akos Zarandy, Balint Vanek, Tamas Peni, Jozsef Bokor y Tamas Roska. "Collision avoidance for UAV using visual detection". En 2011 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2011. http://dx.doi.org/10.1109/iscas.2011.5938030.
Texto completoInformes sobre el tema "UAV collision avoidance"
Wilson, Mike y Glenn Baker. Passive Collision Avoidance System for UAS. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2008. http://dx.doi.org/10.21236/ada486617.
Texto completoPadhi, Radhakant, Amit K. Tripathi y Ramsingh G. Raja. Reactive Collision Avoidance of UAVs withStereovision Sensing. Fort Belvoir, VA: Defense Technical Information Center, enero de 2014. http://dx.doi.org/10.21236/ada595808.
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