Literatura académica sobre el tema "Underground navigation"
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Artículos de revistas sobre el tema "Underground navigation"
Li, Ningbo, Yanbin Gao, Ye Wang, Zhejun Liu, Lianwu Guan y Xin Liu. "A Low-Cost Underground Garage Navigation Switching Algorithm Based on Kalman Filtering". Sensors 19, n.º 8 (18 de abril de 2019): 1861. http://dx.doi.org/10.3390/s19081861.
Texto completoLi, Ningbo, Lianwu Guan, Yanbin Gao, Zhejun Liu, Ye Wang y Hanxiao Rong. "A Low Cost Civil Vehicular Seamless Navigation Technology Based on Enhanced RISS/GPS between the Outdoors and an Underground Garage". Electronics 9, n.º 1 (8 de enero de 2020): 120. http://dx.doi.org/10.3390/electronics9010120.
Texto completoNasibullina, T. V. y O. Yu Lukashov. "UNDERGROUND MINE NAVIGATION SOLUTIONS FOR EMERGENCY". Ugol', n.º 04 (8 de abril de 2020): 29–32. http://dx.doi.org/10.18796/0041-5790-2020-4-29-32.
Texto completoBissiri, Y., G. Baiden, S. Filion y A. Saari. "Automated surveying device for underground navigation". Mining Technology 117, n.º 2 (junio de 2008): 71–82. http://dx.doi.org/10.1179/174328608x362640.
Texto completoLi, L., Q. Huang, K. Xu, G. Guo y R. Chen. "VEHICLE POSITIONING IN UNDERGROUND SPACE USING A SMART PHONE". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-3/W1-2022 (22 de abril de 2022): 81–87. http://dx.doi.org/10.5194/isprs-archives-xlvi-3-w1-2022-81-2022.
Texto completoMoussa, Mohamed, Shady Zahran, Mostafa Mostafa, Adel Moussa, Naser El-Sheimy y Mohamed Elhabiby. "Optical and Mass Flow Sensors for Aiding Vehicle Navigation in GNSS Denied Environment". Sensors 20, n.º 22 (17 de noviembre de 2020): 6567. http://dx.doi.org/10.3390/s20226567.
Texto completoJiang, Yuanjian, Pingan Peng, Liguan Wang, Jiaheng Wang, Jiaxi Wu y Yongchun Liu. "LiDAR-Based Local Path Planning Method for Reactive Navigation in Underground Mines". Remote Sensing 15, n.º 2 (4 de enero de 2023): 309. http://dx.doi.org/10.3390/rs15020309.
Texto completoMADHAVAN, R., G. DISSANAYAKE, H. DURRANT-WHYTE, J. ROBERTS, P. CORKE y J. CUNNINGHAM. "ISSUES IN AUTONOMOUS NAVIGATION OF UNDERGROUND VEHICLES". Mineral Resources Engineering 08, n.º 03 (septiembre de 1999): 313–24. http://dx.doi.org/10.1142/s095060989900030x.
Texto completoLiu, Huiyun, Yongqiang Li, Baoshan Wang y Zengzhang Guo. "Research on Mapping Error Control of Underground Space Mobile LiDAR Constrained by Cooperative Targets". Journal of Sensors 2022 (10 de octubre de 2022): 1–12. http://dx.doi.org/10.1155/2022/8690532.
Texto completoXu, Man, Shuangfeng Wei y Sisi Zlatanova. "AN INDOOR NAVIGATION APPROACH CONSIDERING OBSTACLES AND SPACE SUBDIVISION OF 2D PLAN". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (13 de junio de 2016): 339–46. http://dx.doi.org/10.5194/isprs-archives-xli-b4-339-2016.
Texto completoTesis sobre el tema "Underground navigation"
Al-Naami, Nora. "Indoor navigation techniques for underground subway stations : Analyzing Suitable indoor navigation technologies for underground stations". Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211673.
Texto completoInomhusnavigering har alltid varit ett intressant ämne att titta på, eftersom det finns stor användning av det till exempel i flygplatser, stora gallerior och tunnelbanestationer. Ett intressant tillämpningsomrade är den underjordiska transporten, eftersom den nuvarande navigeringen i tunnelbanestationerna i Sverige visar sig vara otillracklig for att navigera en resenär fran tunnelbanestationen till slutdestinationen. GPS ar en framträdande lösning för utomhusnavigeringen men ingen framstående losning har hittats för inomhusnavigeringen. Tekniker som används för navigering inomhus varierar beroende på byggnadens infrastruktur. Därfor studerar denna rapport på de olika inomhusnavigeringsteknikerna som kategoriseras baserat på en smartphones sensorer och hittar de tekniker som är mest passande för att genomföra för de befintliga SL-tunnelbanestationerna. Tunnelbanestationen är uppdelad i två delar, plattformen och andra våningen. En kombination av kinematisk och visuell navigeringsteknik är effektiv att implementera i plattformen på grund av plattformens miljö. Trådlös navigering är lamplig att genomföra i andra våningen på grund av tillgangen till WiFi-åtkomstpunkter i andra våningen av tunnelbanestationen. Det resultatet hjälper till att skapa en effektiv navigering för SL-tunnelbanestationerna, vilket hjälper till att navigera användare från en punkt till en annan.
Tillema, Nico J. P. "An investigation into underground navigation using electromagnetic waves". Thesis, Loughborough University, 2000. https://dspace.lboro.ac.uk/2134/33823.
Texto completoSvensson, John. "Investigation of Inertial Navigation for Localization in Underground Mines". Thesis, Uppsala universitet, Signaler och System, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-268879.
Texto completoWang, Yin Ph D. Massachusetts Institute of Technology. "Indoor navigation for passengers in underground transit stations using smartphones". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/103836.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 193-199).
People are increasingly relying on smartphones to solve a lot of their daily problems, among which navigation is one of the most fundamental tasks. Estimating the locations of pedestrians and tracking them in an indoor environment is a long sought after research goal. This thesis develops a smartphone-based indoor navigation system specifically designed for transit stations, but which also allows easy extension to other navigation scenarios. The thesis' system requires no extra hardware installation in the indoor environment or on the phone and few assumptions are made about the indoor space and the path tile user is taking, unlike previous approaches. A Bayesian feature-based particle filter localization model is developed to estimate the user's location. A motion model with step detection and heading inference is developed from phone sensor readings, which serves as the motion input to the particle filter. The thesis develops several human activity pattern recognition models that extract activity features from phone sensors as the observation model in the feature-based particle filter model. A grid-based map representation is developed to model the topology and semantic information of an indoor environment, which requires lower computational cost in real-time particle propagation than 2D geometric maps. The thesis develops a modified shortest path algorithm that is able to accommodate user-specific routing requirements and constraints, such as handicap accessibility and a sequence of locations to be visited. A routing graph that is able to model different types of locations and connections in the indoor environment is also developed to work with the modified shortest path algorithm. A new data model and standardized data collection process are proposed to improve data quality and the user experience in future indoor path planning applications. Last, an integrated indoor navigation system is developed to provide the user with step-by-step instructions and route display. Empirical studies of system performance are performed for several transit stations in Boston and London, and a set of buildings at MIT.
by Yin Wang.
Ph. D.
Dragt, Bruce James. "Modelling and control of an autonomous underground mine vehicle". Diss., Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-08282007-101213.
Texto completoKohlmeyer, Rolf Reimar. "Modelling and control of an articulated underground mining vehicle". Diss., 2012. http://hdl.handle.net/2263/26245.
Texto completoDissertation (MEng)--University of Pretoria, 2012.
Electrical, Electronic and Computer Engineering
unrestricted
Chen, Ching-I. y 陳靜儀. "Designing Optimized Smartphone Indoor Navigation Applied to Emergency Evacuation in Underground Spaces – Taipei Main Station, as a Case Study". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/uq4476.
Texto completo國立臺北科技大學
工業設計系創新設計碩士班(碩士在職專班)
105
With the continuous progression of urban development, people increasingly rely on the convenience of underground public transportation. Lacking an advanced systematic program of safety measures and evacuation guidance provisions within such areas, such as the Taipei subway and its extensive underground mall, inevitably will result in significant casualties in an emergency disaster situation. In disaster emergency situations, it is vital to guarantee swift movement and evacuation routes, and as such, this is an important issue for public design. The Internet of Things technology developments is ever-changing that there are some new technologies which can make up the problem that the GPS signal cannot be received smooth. The indoor navigation system provides evacuation guidance for the location of the evacuees when evacuating underground space. The purpose of this study is to optimize the mobile navigation interface design for emergency evacuation situations under special consideration of psychological pressure and provide for a most efficient route of escape.
Libros sobre el tema "Underground navigation"
Anderson, Donna L. Underground test results of a laser-based tram control system for a continuous miner. Washington, D.C: U.S. Dept. of the Interior, Bureau of Mines, 1992.
Buscar texto completoHart, Malcolm. Memoirs of an Underground Filmmaker: Navigating the Stormy Sixties and Seventies. Independently Published, 2019.
Buscar texto completoCapítulos de libros sobre el tema "Underground navigation"
Larsson, Johan, Mathias Broxvall y Alessandro Saffiotti. "A Navigation System for Automated Loaders in Underground Mines". En Springer Tracts in Advanced Robotics, 129–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-33453-8_12.
Texto completoMansouri, Sina Sharif, Miguel Castaño, Christoforos Kanellakis y George Nikolakopoulos. "Autonomous MAV Navigation in Underground Mines Using Darkness Contours Detection". En Lecture Notes in Computer Science, 164–74. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34995-0_16.
Texto completoYu, Ying, Jinpeng Wang, Xinpeng Xue y Nianyu Zou. "Route Navigation System with A-Star Algorithm in Underground Garage Based on Visible Light Communication". En Lecture Notes in Electrical Engineering, 1100–1110. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_131.
Texto completoSiricharoen, Waralak Vongdoiwang. "Experiencing User-Centered Design (UCD) Practice (Case Study: Interactive Route Navigation Map of Bangkok Underground and Sky Train)". En IFIP Advances in Information and Communication Technology, 70–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15231-3_8.
Texto completoFrkovich, Ann y Tameka Carter-Richardson. "Vignettes From the Underground". En Navigating Precarity in Educational Contexts, 120–35. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003258223-10.
Texto completoKriegsch, Pascal, Fabian Uth, Amir Ehsan Kianfar, M. Junga, R. Baltes y E. Clausen. "Optimization of an Underground Localization System Based on Ultra-Wideband Radio and Inertial Navigation Through Determination and Evaluation of Influencing Factors". En Yearbook of Sustainable Smart Mining and Energy 2021, 147–61. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84315-1_8.
Texto completo"Localization in Underground Tunnels". En Indoor Wayfinding and Navigation, 96–121. CRC Press, 2015. http://dx.doi.org/10.1201/b18220-9.
Texto completoTraxler, C., G. Hesina y K. Chmelina. "Immersive tunnel monitoring by data driven navigation in 3D". En Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art, 3254–61. CRC Press, 2020. http://dx.doi.org/10.4324/9781003031635-74.
Texto completoTraxler, C., G. Hesina y K. Chmelina. "Immersive tunnel monitoring by data driven navigation in 3D". En Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art, 3254–61. CRC Press, 2019. http://dx.doi.org/10.1201/9780429424441-344.
Texto completoTraxler, C., G. Hesina y K. Chmelina. "Immersive tunnel monitoring by data driven navigation in 3D". En Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art, 3254–61. CRC Press, 2020. http://dx.doi.org/10.1201/9781003031635-74.
Texto completoActas de conferencias sobre el tema "Underground navigation"
Davis, Clay. "GPS-like navigation underground". En 2010 IEEE/ION Position, Location and Navigation Symposium - PLANS 2010. IEEE, 2010. http://dx.doi.org/10.1109/plans.2010.5507196.
Texto completoOliveira, Victor Adriel de J., Eduardo Marques, Rodrigo De Lemos Peroni y Anderson Maciel. "Tactile Interface for Navigation in Underground Mines". En 2014 XVI Symposium on Virtual and Augmented Reality (SVR). IEEE, 2014. http://dx.doi.org/10.1109/svr.2014.16.
Texto completoSchneider, Oliver. "Requirements for positioning and navigation in underground constructions". En 2010 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2010. http://dx.doi.org/10.1109/ipin.2010.5646747.
Texto completoCapozzi, Ryan, Markus Wilde y Brian Kish. "Daisy Chain Navigation and Communication in Underground Environments". En 2021 IEEE Aerospace Conference. IEEE, 2021. http://dx.doi.org/10.1109/aero50100.2021.9438304.
Texto completoEstrada, Emanuel, Luan Silveira, Eder Gonccalves, Nelson Duarte Filho, Vinicius de Oliveira y Silvia Botelho. "Autonomous navigation for underground energy line inspection robot". En 2010 1st International Conference on Applied Robotics for the Power Industry (CARPI 2010). IEEE, 2010. http://dx.doi.org/10.1109/carpi.2010.5624410.
Texto completoDunn, Mark T., Jeremy P. Thompson, Peter B. Reid y David C. Reid. "High accuracy inertial navigation for underground mining machinery". En 2012 IEEE International Conference on Automation Science and Engineering (CASE 2012). IEEE, 2012. http://dx.doi.org/10.1109/coase.2012.6386402.
Texto completoWu, Yifan, Zhengtao Li, Xin Qu y Tianxu Zhang. "Combined infrared simulation and pix2pix model for underground target detection". En Automatic Target Recognition and Navigation, editado por Hanyu Hong, Jianguo Liu y Xia Hua. SPIE, 2020. http://dx.doi.org/10.1117/12.2538212.
Texto completoLarsson, Johan, Mathias Broxvall y Alessandro Saffiotti. "Flexible infrastructure free navigation for vehicles in underground mines". En 2008 4th International IEEE Conference "Intelligent Systems" (IS). IEEE, 2008. http://dx.doi.org/10.1109/is.2008.4670406.
Texto completoMansouri, Sina Sharif, Christoforos Kanellakis, George Georgoulas y George Nikolakopoulos. "Towards MAV Navigation in Underground Mine Using Deep Learning". En 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2018. http://dx.doi.org/10.1109/robio.2018.8665290.
Texto completoCypriani, Matteo, Gilles Delisle y Nadir Hakem. "Wi-Fi-based positioning in underground mine tunnels". En 2013 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2013. http://dx.doi.org/10.1109/ipin.2013.6817894.
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