Gotowe bibliografie tematyczne / Unmanned ground vehicles

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Unmanned ground vehicles”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 lipca 2025

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Artykuły w czasopismach na temat "Unmanned ground vehicles"

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Chang, Bao Rong, Hsiu-Fen Tsai, Jyong-Lin Lyu, and Chien-Feng Huang. "Distributed sensing units deploying on group unmanned vehicles." International Journal of Distributed Sensor Networks 17, no. 7 (2021): 155014772110368. http://dx.doi.org/10.1177/15501477211036877.

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This study aims to use two unmanned vehicles (aerial vehicles and ground vehicles) to implement multi-machine cooperation to complete the assigned tasks quickly. Unmanned aerial/ground vehicles can call each other to send instant inquiry messages using the proposed cooperative communication protocol to hand over the tasks between them and execute efficient three-dimensional collaborative operations in time. This study has demonstrated integrating unmanned aerial/ground vehicles into a group through the control platform (i.e. App operation interface) that uses the Internet of Things. Therefore,
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Gorsky, Alexander, Vitaliy Demyanov, and Alexander Zhukov. "Problem of creation ground robotics vehicle." Robotics and Technical Cybernetics 10, no. 2 (2022): 154–60. http://dx.doi.org/10.31776/rtcj.10209.

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The article discusses about the system of information support for unmanned ground vehicle and un-manned aerial vehicles with an increased degree of autonomy, arising application difficulties, is considered. Some methodological approaches to calculating the requirements of electronic protection for the data transmission systems of unmanned ground vehicle and unmanned aerial vehicles with an increased degree of autonomy are given.
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Li, Xin, Guang Ming Xiong, Yang Sun, et al. "Design on Hierarchical Testing System for Unmanned Ground Vehicles." Advanced Materials Research 346 (September 2011): 817–22. http://dx.doi.org/10.4028/www.scientific.net/amr.346.817.

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The test system for technical abilities of unmanned vehicles is gradually developed from the single test to comprehensive test. The pre-established test and evaluation system can promote the development of unmanned ground vehicles. The 2009 Future Challenge: Intelligent Vehicles and Beyond (FC’09) pushed China's unmanned vehicles out of laboratories. This paper proposed to design a more scientific and comprehensive test system for future competitions to better guide and regulate the development of China's unmanned vehicles. According to the design idea of stage by stage and level by level, the
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Hay, A., C. Samson, L. Tuck, and A. Ellery. "Magnetic surveying with an unmanned ground vehicle." Journal of Unmanned Vehicle Systems 6, no. 4 (2018): 249–66. http://dx.doi.org/10.1139/juvs-2018-0013.

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With the recent proliferation of unmanned aerial vehicles for geophysical surveying, a novel opportunity exists to develop unmanned ground vehicles in parallel. This contribution features a study to integrate the Husky A200 robotic development platform with a GSMP 35U magnetometer that has recently been developed for the unmanned aerial vehicle market. Methods to identify and reduce the impact of magnetically noisy components on the unmanned ground vehicle platforms are discussed. The noise generated by the platform in laboratory and gentle field conditions, estimated using the fourth differen
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Ali, Ali M., Md Asri Ngadi, Rohana Sham, and Israa Ibraheem Al_Barazanchi. "Enhanced QoS Routing Protocol for an Unmanned Ground Vehicle, Based on the ACO Approach." Sensors 23, no. 3 (2023): 1431. http://dx.doi.org/10.3390/s23031431.

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Improving models for managing the networks of firefighting unmanned ground vehicles in crowded areas, as a recommendation system (RS), represented a difficult challenge. This challenge comes from the peculiarities of these types of networks. These networks are distinguished by the network coverage area size, frequent network connection failures, and quick network structure changes. The research aims to improve the communication network of self-driving firefighting unmanned ground vehicles by determining the best routing track to the desired fire area. The suggested new model intends to improve
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Al-Bkree, Mahmod. "Optimizing Perimeter Surveillance Drones to enhance the security system of unmanned aerial vehicles." Security science journal 2, no. 2 (2021): 105–15. http://dx.doi.org/10.37458/ssj.2.2.7.

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This work is to optimize perimeter surveillance and explore the distribution of ground bases for unmanned aerial vehicles along the Jordanian border and optimize the set of technologies for each aerial vehicle. This model is part of ongoing research on perimeter security systems based on unmanned aerial vehicles. The suggested models give an initial insight about selecting technologies carried by unmanned aerial vehicles based on their priority; it runs for a small scale system that can be expanded, the initial results show the need for at least four ground bases along the length of the border
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Zhang, Xin, Yan An Zhao, Li Gao, and Dong Hao Hao. "Evaluation Framework and Method of the Intelligent Behaviors of Unmanned Ground Vehicles Based on AHP Scheme." Applied Mechanics and Materials 721 (December 2014): 476–80. http://dx.doi.org/10.4028/www.scientific.net/amm.721.476.

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In order to provide basis and standards to the research on unmanned driving behaviors, a more thorough evaluation system of Intelligent Behavior for Unmanned Ground Vehicles needs to come forward. The intelligent behavior of unmanned ground vehicles in pedestrian crossing scenario is taken as an example in this paper. By using building and analyzing evaluation index system, this paper proposes an evaluation method that can comprehensively expressed the technological performance of unmanned ground vehicles based on Analytic Hierarchy Process (AHP). Compared with traditional methods, this evalua
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Valerio, Carlos G., Néstor Aguillón, Eduardo S. Espinoza, and Rogelio Lozano. "Reference Generator for a System of Multiple Tethered Unmanned Aerial Vehicles." Drones 6, no. 12 (2022): 390. http://dx.doi.org/10.3390/drones6120390.

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This paper deals with the references generation for a team of unmanned aerial vehicles tethered to a ground station for inspection applications. In order to deploy the team of vehicles in a suitable location to cover the largest area, each vehicle is commanded to securely navigate in an area of interest while it is tethered to another vehicle or to a ground station. To generate the corresponding reference for each vehicle, we used a model predictive controller, which optimizes the desired trajectory based on the mission-defined constraints. To validate the effectiveness of the proposed strateg
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Akopov, A. S., N. K. Khachatryan, L. A. Beklaryan, and A. L. Beklaryan. "UNMANNED VEHICLE CONTROL SYSTEM BASED ON FUZZY CLUSTERING. PART 2. FUZZY CLUSTERING AND SOFTWARE IMPLEMENTATION." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 196 (October 2020): 21–29. http://dx.doi.org/10.14489/vkit.2020.10.pp.021-029.

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This article continues the description of the control system for ground unmanned vehicles as part of the integration of a phenomenological approach to modeling the behavior of agents and methods of fuzzy clustering in order to improve the quality of decisions. As a result, adaptive fuzzy clustering methods provide support for adaptive ground unmanned vehicles control, which minimizes the risks of accidents (emergencies involving ground unmanned vehicles) and maximizes traffic (total output stream) in conditions of heavy traffic. The second part is devoted to the description of the developed fu
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Akopov, A. S., N. K. Khachatryan, L. A. Beklaryan, and A. L. Beklaryan. "UNMANNED VEHICLE CONTROL SYSTEM BASED ON FUZZY CLUSTERING. PART 2. FUZZY CLUSTERING AND SOFTWARE IMPLEMENTATION." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 196 (October 2020): 21–29. http://dx.doi.org/10.14489/vkit.2020.10.pp.021-029.

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This article continues the description of the control system for ground unmanned vehicles as part of the integration of a phenomenological approach to modeling the behavior of agents and methods of fuzzy clustering in order to improve the quality of decisions. As a result, adaptive fuzzy clustering methods provide support for adaptive ground unmanned vehicles control, which minimizes the risks of accidents (emergencies involving ground unmanned vehicles) and maximizes traffic (total output stream) in conditions of heavy traffic. The second part is devoted to the description of the developed fu
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Rozprawy doktorskie na temat "Unmanned ground vehicles"

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Kirchhoff, Allan Richard. "Text Localization for Unmanned Ground Vehicles." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/52569.

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Unmanned ground vehicles (UGVs) are increasingly being used for civilian and military applications. Passive sensing, such as visible cameras, are being used for navigation and object detection. An additional object of interest in many environments is text. Text information can supplement the autonomy of unmanned ground vehicles. Text most often appears in the environment in the form of road signs and storefront signs. Road hazard information, unmapped route detours and traffic information are available to human drivers through road signs. Premade road maps lack these traffic details, but
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Umansky, Mark. "A Prototype Polarimetric Camera for Unmanned Ground Vehicles." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23724.

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Unmanned ground vehicles are increasingly employing a combination of active sensors such as LIDAR with passive sensors like cameras to perform at all levels of perception, which includes detection, recognition and classification. Typical cameras measure the intensity of light at a variety of different wavelengths to classify objects in different areas of an image. A polarimetric camera not only measures intensity of light, but can also determine its state of polarization. The polarization of light is the angle the electric field of the wave of light takes as it travels. A polarimetric camera
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Rodriguez, Uriel. "Miniaturization of ground station for unmanned air vehicles." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0008480.

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Kirsch, Patricia Jean. "Autonomous swarms of unmanned vehicles software control system and ground vehicle testing /." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2993.

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Thesis (M.S.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Dept. of Electrical and Computer Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Olsson, Martin. "Obstacle detection using stereo vision for unmanned ground vehicles." Thesis, Linköping University, Department of Science and Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-18255.

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Henderson, Harold Paulk Bevly David M. "Relative positioning of unmanned ground vehicles using ultrasonic sensors." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SPRING/Mechanical_Engineering/Thesis/Henderson_Harold_55.pdf.

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Daily, Robert L. Bevly David M. "Stream function path planning and control for unmanned ground vehicles." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SUMMER/Mechanical_Engineering/Dissertation/Daily_Robert_45.pdf.

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Bayar, Gokhan. "Trajectory Tracking Control Of Unmanned Ground Vehicles In Mixed Terrain." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615105/index.pdf.

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Mobile robots are commonly used to achieve tasks involving tracking a desired trajectory and following a predefined path in different types of terrains that have different surface characteristics. A mobile robot can perform the same navigation task task over different surfaces if the tracking performance and accuracy are not essential. However, if the tracking performance is the main objective, due to changing the characteristics of wheel-ground interaction, a single set of controller parameters or an equation of motion might be easily failing to guarantee a desired performance and accuracy. T
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Omelchenko, Alexander 1968. "Avionics systems design for cooperative unmanned air and ground vehicles." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17789.

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Thesis (S.M. and E.A.A.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.<br>"June 2004."<br>Includes bibliographical references (p. 95).<br>This thesis summarizes the results of the design of avionics systems intended for use onboard unmanned air and ground vehicles, that are parts of a multi-vehicle system whose primary mission objective is to provide up-close surveillance capability from a large stand-off distance. Different types of cooperative action between air and ground vehicles, that can help to enhance the overall system surveillance capability, ar
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Spenko, Matthew J. (Matthew Julius) 1976. "Hazard avoidance for high-speed rough-terrain unmanned ground vehicles." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/32389.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2005.<br>"June 2005."<br>Includes bibliographical references (p. 111-116).<br>High-speed unmanned ground vehicles have important applications in rough-terrain. In these applications unexpected and dangerous situations can occur that require rapid hazard avoidance maneuvers. At high speeds, there is limited time to perform navigation and hazard avoidance calculations based on detailed vehicle and terrain models. Furthermore, detailed models often do not accurately predict the robot's performance due to mode
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Książki na temat "Unmanned ground vehicles"

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Hebert, Martial H., Charles Thorpe, and Anthony Stentz, eds. Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9.

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National Research Council (U.S.). Committee on Army Unmanned Ground Vehicle Technology. and National Research Council (U.S.). Board on Army Science and Technology., eds. Technology development for Army unmanned ground vehicles. National Academies Press, 2002.

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John, Aloimonos, ed. Visual navigation: From biological systems to unmanned ground vehicles. Lawrence Erlbaum Associates, 1997.

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Martial, Hebert, Thorpe Charles E, and Stentz Anthony, eds. Intelligent unmanned ground vehicles: Autonomous navigation research at Carnegie Mellon. Kluwer Academic Publishers, 1997.

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Hebert, Martial H. Intelligent Unmanned Ground Vehicles: Autonomous Navigation Research at Carnegie Mellon. Springer US, 1997.

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R, Gerhart Grant, Shoemaker Chuck M, Gage Douglas W. 1945-, and Society of Photo-optical Instrumentation Engineers., eds. Unmanned ground vehicle technology IV: 2-3 April, 2002, Orlando, [Florida] USA. SPIE, 2002.

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Neta, Beny. Benefit of sound cueing in combat simulation. Naval Postgraduate School, 1993.

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Hume, David B. Integration of weaponized unmanned aircraft into the air-to-ground system. Air University Press, 2007.

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R, Gerhart Grant, Gunderson Robert W, Shoemaker Chuck M, and Society of Photo-optical Instrumentation Engineers., eds. Unmanned ground vehicle technology II: 24-25 April, 2000, Orlando, USA. SPIE, 2000.

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R, Gerhart Grant, Shoemaker Chuck M, Gage Douglas W. 1945-, and Society of Photo-optical Instrumentation Engineers., eds. Unmanned ground vehicle technology V: 22-23 April, 2003, Orlando, Florida, USA. SPIE, 2003.

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Części książek na temat "Unmanned ground vehicles"

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Hebert, Martial, Charles E. Thorpe, and Anthony Stentz. "Introduction." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_1.

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Kay, Jennifer, and Charles E. Thorpe. "STRIPE: Low-Bandwidth and High-Latency Teleoperation." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_10.

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Stentz, Anthony. "Optimal and Efficient Path Planning for Partially Known Environments." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_11.

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Brumitt, Barry, and Anthony Stentz. "Dynamic Mission Planning for Multiple Mobile Robots." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_12.

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Thorpe, Charles E., Omead Amidi, Jay Gowdy, Martial Hebert, and Dean Pomerleau. "Integrating Position Estimation and Perception for Navigation." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_13.

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Langer, Dirk, Julio K. Rosenblatt, and Martial Hebert. "An Integrated System for Autonomous Off-Road Navigation." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_14.

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Stentz, Anthony, and Martial Hebert. "A Navigation System for Goal Acquisition in Unknown Environments." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_15.

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Rosenblatt, Julio K., and Charles E. Thorpe. "A Behavior-based Architecture for Mobile Navigation." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_2.

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Gowdy, Jay. "SAUSAGES: Between Planning and Action." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_3.

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Pomerleau, Dean. "Neural Network Vision for Robot Driving." In Intelligent Unmanned Ground Vehicles. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6325-9_4.

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Streszczenia konferencji na temat "Unmanned ground vehicles"

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Fransen, Ruben, Marijn v. Adrichem, Hannah Onverwagt, and Hanno Hildmann. "Self-organizing control for unmanned ground vehicles." In Autonomous Systems for Security and Defence, edited by Judith Dijk and Jose Luis Sanchez-Lopez. SPIE, 2024. http://dx.doi.org/10.1117/12.3033891.

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Nygaard, Tønnes F., Alexander Tiderko, Frank E. Schneider, et al. "Interoperability for Semi-Autonomous Unmanned Ground Vehicles." In 2025 International Conference on Military Communication and Information Systems (ICMCIS). IEEE, 2025. https://doi.org/10.1109/icmcis64378.2025.11047908.

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Domínguez, Miguel, S. Mishra, Sofija Ilic, Zorana Milosevic, and Sergio Domínguez. "Obstacle avoidance for unmanned wing-in-ground vehicles." In Autonomous Systems for Security and Defence, edited by Judith Dijk and Jose Luis Sanchez-Lopez. SPIE, 2024. http://dx.doi.org/10.1117/12.3031708.

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Ebken, John, Mike Bruch, and Jason Lum. "Applying unmanned ground vehicle technologies to unmanned surface vehicles." In Defense and Security, edited by Grant R. Gerhart, Charles M. Shoemaker, and Douglas W. Gage. SPIE, 2005. http://dx.doi.org/10.1117/12.605254.

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Jaczkowski, J., G. Hudas, J. Overholt, et al. "Intelligent unmanned ground vehicles." In Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems. IEEE, 2004. http://dx.doi.org/10.1109/itsc.2004.1399033.

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Larsen, Karin R., and Keith Olson. "Intersection navigation for unmanned ground vehicles." In Aerospace/Defense Sensing and Controls, edited by Scott A. Speigle. SPIE, 1996. http://dx.doi.org/10.1117/12.241077.

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Gerhart, Grant R., and Gary Witus. "Sensor deployment on unmanned ground vehicles." In Optics/Photonics in Security and Defence, edited by Edward M. Carapezza. SPIE, 2007. http://dx.doi.org/10.1117/12.736109.

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Haas, Gary. "Test facility for unmanned ground vehicles." In Aerospace/Defense Sensing and Controls, edited by Grant R. Gerhart and Ben A. Abbott. SPIE, 1998. http://dx.doi.org/10.1117/12.317553.

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Qian, Ying, Feitong Wang, Cheng Lin, Shengye Huang, and Xuejia Guo. "Development of military unmanned ground vehicles." In Conference on Optical Sensing and Imaging Technology, edited by Yadong Jiang, Qunbo Lv, Bin Xue, Dengwei Zhang, and Dong Liu. SPIE, 2021. http://dx.doi.org/10.1117/12.2601876.

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Cole, Michael P., Cory M. Crean, David J. Gorsich, Paramsothy Jayakumar, Abhinandan Jain, and Tulga Ersal. "EVALUATING MOBILITY PERFORMANCE OF UNMANNED GROUND VEHICLES." In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3730.

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&lt;title&gt;ABSTRACT&lt;/title&gt; &lt;p&gt;As the penetration levels of unmanned ground vehicles (UGV) in military applications increase, there is a growing need to evaluate their mobility across different latencies and various modes of operation ranging from pure teleoperation to full autonomy. State-of-the-art tools to evaluate mobility of ground vehicles do not address this need due to their not accounting for UGV technologies and the associated latencies. Although the trade-off between latency and performance has been thoroughly studied in the telerobotics literature and the results may
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Raporty organizacyjne na temat "Unmanned ground vehicles"

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Ebken, John, Mike Bruch, and Jason Lum. Applying Unmanned Ground Vehicle Technologies To Unmanned Surface Vehicles. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada434099.

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Sellers, D. P., A. J. Ramsbotham, Hal Bertrand, and Nicholas Karvonides. International Assessment of Unmanned Ground Vehicles. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada534965.

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Richmond, Paul W., George L. Mason, Barry A. Coutermarsh, Jason Pusey, and Victoria D. Moore. Mobility Performance Algorithms for Small Unmanned Ground Vehicles. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada500849.

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Rogers, Paul D. Army Support to Future Combat Systems Unmanned Ground Vehicles. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada466892.

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Turnage, Doris. Localization and mapping of unknown locations with unmanned ground vehicles. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/32277.

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Iagnemma, Karl. Design and Control of Omnidirectional Unmanned Ground Vehicles for Rough Terrain. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada580067.

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Jones, Randolph M., Ron Arkin, and Nahid Sidki. Intelligent Terrain Analysis and Tactical Support System (ITATSS) for Unmanned Ground Vehicles. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada434526.

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Lee, Jin-Kyu, Amir Naser, Osama Ennasr, Ahmet Soylemezoglu,, and Garry Glaspell. Unmanned ground vehicle (UGV) full coverage planning with negative obstacles. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47527.

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Streszczenie:
We explored approaches that offer full coverage path planning while simultaneously avoiding negative obstacles. These approaches are specific to unmanned ground vehicles (UGVs), which need to constantly interact with a traversable ground surface. We tested multiple potential solutions in simulation, and the results are presented herein. Full coverage path planner (FCPP) approaches were evaluated based on their ability to discretize their paths, use waypoints effectively, and be easily integrated with our current robot platform. For negative obstacles, we explored approaches that will integrate
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Iagnemma, Karl. Navigation and Hazard Avoidance for High-Speed Unmanned Ground Vehicles in Rough Terrain. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada498562.

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Shima, Tal, Pantelis Isaiah, and Yoav Gottlieb. Motion Planning and Task Assignment for Unmanned Aerial Vehicles Cooperating with Unattended Ground Sensors. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada619854.

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