Academic literature on the topic 'Underground navigation'
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Journal articles on the topic "Underground navigation"
Li, Ningbo, Yanbin Gao, Ye Wang, Zhejun Liu, Lianwu Guan, and Xin Liu. "A Low-Cost Underground Garage Navigation Switching Algorithm Based on Kalman Filtering." Sensors 19, no. 8 (April 18, 2019): 1861. http://dx.doi.org/10.3390/s19081861.
Full textLi, Ningbo, Lianwu Guan, Yanbin Gao, Zhejun Liu, Ye Wang, and Hanxiao Rong. "A Low Cost Civil Vehicular Seamless Navigation Technology Based on Enhanced RISS/GPS between the Outdoors and an Underground Garage." Electronics 9, no. 1 (January 8, 2020): 120. http://dx.doi.org/10.3390/electronics9010120.
Full textNasibullina, T. V., and O. Yu Lukashov. "UNDERGROUND MINE NAVIGATION SOLUTIONS FOR EMERGENCY." Ugol', no. 04 (April 8, 2020): 29–32. http://dx.doi.org/10.18796/0041-5790-2020-4-29-32.
Full textBissiri, Y., G. Baiden, S. Filion, and A. Saari. "Automated surveying device for underground navigation." Mining Technology 117, no. 2 (June 2008): 71–82. http://dx.doi.org/10.1179/174328608x362640.
Full textLi, L., Q. Huang, K. Xu, G. Guo, and 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 (April 22, 2022): 81–87. http://dx.doi.org/10.5194/isprs-archives-xlvi-3-w1-2022-81-2022.
Full textMoussa, Mohamed, Shady Zahran, Mostafa Mostafa, Adel Moussa, Naser El-Sheimy, and Mohamed Elhabiby. "Optical and Mass Flow Sensors for Aiding Vehicle Navigation in GNSS Denied Environment." Sensors 20, no. 22 (November 17, 2020): 6567. http://dx.doi.org/10.3390/s20226567.
Full textJiang, Yuanjian, Pingan Peng, Liguan Wang, Jiaheng Wang, Jiaxi Wu, and Yongchun Liu. "LiDAR-Based Local Path Planning Method for Reactive Navigation in Underground Mines." Remote Sensing 15, no. 2 (January 4, 2023): 309. http://dx.doi.org/10.3390/rs15020309.
Full textMADHAVAN, R., G. DISSANAYAKE, H. DURRANT-WHYTE, J. ROBERTS, P. CORKE, and J. CUNNINGHAM. "ISSUES IN AUTONOMOUS NAVIGATION OF UNDERGROUND VEHICLES." Mineral Resources Engineering 08, no. 03 (September 1999): 313–24. http://dx.doi.org/10.1142/s095060989900030x.
Full textLiu, Huiyun, Yongqiang Li, Baoshan Wang, and Zengzhang Guo. "Research on Mapping Error Control of Underground Space Mobile LiDAR Constrained by Cooperative Targets." Journal of Sensors 2022 (October 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/8690532.
Full textXu, Man, Shuangfeng Wei, and 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 (June 13, 2016): 339–46. http://dx.doi.org/10.5194/isprs-archives-xli-b4-339-2016.
Full textDissertations / Theses on the topic "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.
Full textInomhusnavigering 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.
Full textSvensson, 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.
Full textWang, 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.
Full textCataloged 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.
Full textKohlmeyer, Rolf Reimar. "Modelling and control of an articulated underground mining vehicle." Diss., 2012. http://hdl.handle.net/2263/26245.
Full textDissertation (MEng)--University of Pretoria, 2012.
Electrical, Electronic and Computer Engineering
unrestricted
Chen, Ching-I., and 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.
Full text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.
Books on the topic "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.
Find full textHart, Malcolm. Memoirs of an Underground Filmmaker: Navigating the Stormy Sixties and Seventies. Independently Published, 2019.
Find full textBook chapters on the topic "Underground navigation"
Larsson, Johan, Mathias Broxvall, and Alessandro Saffiotti. "A Navigation System for Automated Loaders in Underground Mines." In 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.
Full textMansouri, Sina Sharif, Miguel Castaño, Christoforos Kanellakis, and George Nikolakopoulos. "Autonomous MAV Navigation in Underground Mines Using Darkness Contours Detection." In Lecture Notes in Computer Science, 164–74. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34995-0_16.
Full textYu, Ying, Jinpeng Wang, Xinpeng Xue, and Nianyu Zou. "Route Navigation System with A-Star Algorithm in Underground Garage Based on Visible Light Communication." In Lecture Notes in Electrical Engineering, 1100–1110. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_131.
Full textSiricharoen, Waralak Vongdoiwang. "Experiencing User-Centered Design (UCD) Practice (Case Study: Interactive Route Navigation Map of Bangkok Underground and Sky Train)." In 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.
Full textFrkovich, Ann, and Tameka Carter-Richardson. "Vignettes From the Underground." In Navigating Precarity in Educational Contexts, 120–35. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003258223-10.
Full textKriegsch, Pascal, Fabian Uth, Amir Ehsan Kianfar, M. Junga, R. Baltes, and E. Clausen. "Optimization of an Underground Localization System Based on Ultra-Wideband Radio and Inertial Navigation Through Determination and Evaluation of Influencing Factors." In 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.
Full text"Localization in Underground Tunnels." In Indoor Wayfinding and Navigation, 96–121. CRC Press, 2015. http://dx.doi.org/10.1201/b18220-9.
Full textTraxler, C., G. Hesina, and K. Chmelina. "Immersive tunnel monitoring by data driven navigation in 3D." In 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.
Full textTraxler, C., G. Hesina, and K. Chmelina. "Immersive tunnel monitoring by data driven navigation in 3D." In 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.
Full textTraxler, C., G. Hesina, and K. Chmelina. "Immersive tunnel monitoring by data driven navigation in 3D." In 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.
Full textConference papers on the topic "Underground navigation"
Davis, Clay. "GPS-like navigation underground." In 2010 IEEE/ION Position, Location and Navigation Symposium - PLANS 2010. IEEE, 2010. http://dx.doi.org/10.1109/plans.2010.5507196.
Full textOliveira, Victor Adriel de J., Eduardo Marques, Rodrigo De Lemos Peroni, and Anderson Maciel. "Tactile Interface for Navigation in Underground Mines." In 2014 XVI Symposium on Virtual and Augmented Reality (SVR). IEEE, 2014. http://dx.doi.org/10.1109/svr.2014.16.
Full textSchneider, Oliver. "Requirements for positioning and navigation in underground constructions." In 2010 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2010. http://dx.doi.org/10.1109/ipin.2010.5646747.
Full textCapozzi, Ryan, Markus Wilde, and Brian Kish. "Daisy Chain Navigation and Communication in Underground Environments." In 2021 IEEE Aerospace Conference. IEEE, 2021. http://dx.doi.org/10.1109/aero50100.2021.9438304.
Full textEstrada, Emanuel, Luan Silveira, Eder Gonccalves, Nelson Duarte Filho, Vinicius de Oliveira, and Silvia Botelho. "Autonomous navigation for underground energy line inspection robot." In 2010 1st International Conference on Applied Robotics for the Power Industry (CARPI 2010). IEEE, 2010. http://dx.doi.org/10.1109/carpi.2010.5624410.
Full textDunn, Mark T., Jeremy P. Thompson, Peter B. Reid, and David C. Reid. "High accuracy inertial navigation for underground mining machinery." In 2012 IEEE International Conference on Automation Science and Engineering (CASE 2012). IEEE, 2012. http://dx.doi.org/10.1109/coase.2012.6386402.
Full textWu, Yifan, Zhengtao Li, Xin Qu, and Tianxu Zhang. "Combined infrared simulation and pix2pix model for underground target detection." In Automatic Target Recognition and Navigation, edited by Hanyu Hong, Jianguo Liu, and Xia Hua. SPIE, 2020. http://dx.doi.org/10.1117/12.2538212.
Full textLarsson, Johan, Mathias Broxvall, and Alessandro Saffiotti. "Flexible infrastructure free navigation for vehicles in underground mines." In 2008 4th International IEEE Conference "Intelligent Systems" (IS). IEEE, 2008. http://dx.doi.org/10.1109/is.2008.4670406.
Full textMansouri, Sina Sharif, Christoforos Kanellakis, George Georgoulas, and George Nikolakopoulos. "Towards MAV Navigation in Underground Mine Using Deep Learning." In 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2018. http://dx.doi.org/10.1109/robio.2018.8665290.
Full textCypriani, Matteo, Gilles Delisle, and Nadir Hakem. "Wi-Fi-based positioning in underground mine tunnels." In 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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