Literatura científica selecionada sobre o tema "Estimation de la distance"
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Artigos de revistas sobre o assunto "Estimation de la distance"
Kronenfeld, Barry J. "A Plotless Density Estimator Based on the Asymptotic Limit of Ordered Distance Estimation Values". Forest Science 55, n.º 4 (1 de agosto de 2009): 283–92. http://dx.doi.org/10.1093/forestscience/55.4.283.
Texto completo da fonteMakaremi, Masrour, Rafael Ristor, François de Brondeau, Agathe Choquart, Camille Mengelle e Bernard N’Kaoua. "Estimation of Distances within Real and Virtual Dental Models as a Function of Task Complexity". Diagnostics 13, n.º 7 (30 de março de 2023): 1304. http://dx.doi.org/10.3390/diagnostics13071304.
Texto completo da fonteWartenberg, Constanze, e Per Wiborg. "Precision of Exocentric Distance Judgments in Desktop and Cube Presentation". Presence: Teleoperators and Virtual Environments 12, n.º 2 (abril de 2003): 196–206. http://dx.doi.org/10.1162/105474603321640941.
Texto completo da fonteNam, Gyeong-Mo, e Eui-Rim Jeong. "Distance Estimation Based on Deep Convolutional Neural Network Using Ultra-Wideband Signals". Journal of Computational and Theoretical Nanoscience 17, n.º 7 (1 de julho de 2020): 3212–17. http://dx.doi.org/10.1166/jctn.2020.9163.
Texto completo da fonteNadeau, Christopher P., e Courtney J. Conway. "Field evaluation of distance-estimation error during wetland-dependent bird surveys". Wildlife Research 39, n.º 4 (2012): 311. http://dx.doi.org/10.1071/wr11161.
Texto completo da fonteAllen, Robert C., Daniel P. McDonald e Michael J. Singer. "Landmark Direction and Distance Estimation in Large Scale Virtual Environments". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, n.º 2 (outubro de 1997): 1213–17. http://dx.doi.org/10.1177/1071181397041002109.
Texto completo da fonteWitmer, Bob G., e Paul B. Kline. "Judging Perceived and Traversed Distance in Virtual Environments". Presence: Teleoperators and Virtual Environments 7, n.º 2 (abril de 1998): 144–67. http://dx.doi.org/10.1162/105474698565640.
Texto completo da fonteYoon, Jeonghyeon, Jisoo Oh e Seungku Kim. "Transfer Learning Approach for Indoor Localization with Small Datasets". Remote Sensing 15, n.º 8 (17 de abril de 2023): 2122. http://dx.doi.org/10.3390/rs15082122.
Texto completo da fonteLampton, Donald R., Daniel P. McDonald, Michael Singer e James P. Bliss. "Distance Estimation in Virtual Environments". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, n.º 20 (outubro de 1995): 1268–72. http://dx.doi.org/10.1177/154193129503902006.
Texto completo da fonteKim, Sunyong, Sun Young Park, Daehoon Kwon, Jaehyun Ham, Young-Bae Ko e Hyuk Lim. "Two-hop distance estimation in wireless sensor networks". International Journal of Distributed Sensor Networks 13, n.º 2 (fevereiro de 2017): 155014771668968. http://dx.doi.org/10.1177/1550147716689683.
Texto completo da fonteTeses / dissertações sobre o assunto "Estimation de la distance"
Lowe, Karsten. "Distance estimation between transceivers over short distances". Connect to this title online, 2007. http://etd.lib.clemson.edu/documents/1202417257/.
Texto completo da fonteTekaya, Souhaiel Ben. "Distance estimation using handheld devices". Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/34753.
Texto completo da fonteThe different capabilities mobile devices can offer in the field of distance estimation for military applications are explored in this thesis. Of particular interest is the potential for using computer vision techniques to estimate distance in an operational military environment. The methods used for this investigation include a review of past literature on computer vision techniques in this domain, as well as an exploration of the different capabilities mobile devices offer in terms of sensors and networking. We present two potential solutions. The first is a simulation of a distance estimation algorithm that gives the distance to the target using a pair of hyper stereo images. The second solution is a web-based mobile application prototype developed in HTML5. This prototype is intended for the use of untrained forward observers. It goes through the basic steps of a call for fire mission as required by a forward observer, with a focus on distance estimation.
Andrieu, Guillaume. "Estimation par intervalle d'une distance évolutive". Montpellier 2, 1997. http://www.theses.fr/1997MON20233.
Texto completo da fonteLammi, J. (Jouni), P. (Petteri) Moilanen e A. (Aleksi) Sierilä. "Size and distance estimation in virtual reality". Bachelor's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201906132541.
Texto completo da fonteWarwick, Jane. "Selecting tuning parameters in minimum distance estimators". n.p, 2001. http://ethos.bl.uk/.
Texto completo da fonteEriksson, Nils. "Estimation of Distance to empty for heavy vehicles". Thesis, Linköping University, Vehicular Systems, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56905.
Texto completo da fonteThe distance to empty (DTE) for a heavy vehicle is valuable information both forthe driver and the hauler company. The DTE is estimated as the ratio between the current fuel level and a representative mean fuel consumption. This means the fuel consumption is a prediction of the most likely future mean fuel consumption based on earlier data. It is calculated by applying a forgetting filter on the signal of the momentary fuel consumption in the engine. The filter parameter control how many values that contributes to the output. This is a balance between desired robustness and adaptability of the estimate.
Initially, a pre-stored value is used as an estimate of the mean fuel consumption. By this, the driver gets a first hint of the DTE value and the estimation of the DTE gets a good starting point. Stored values will adapt continuously with an online algorithm using vehicle data from previous runs. An alternative to showing the DTE is to present the time to empty when the vehicle speed is close to zero.
The accuracy of the proposed algorithm depends on the quality of the input signals. With the current input signals, it is possible to get a DTE estimate that, over a longer time period, decrease in the same pace as the distance meter increase. This is considered as a good validation measurement. If altitude data for the current route would be used, a more accurate DTE estimate could be obtained. The sample distance for this altitude data could however be set to a 1000 meter without affecting the estimate significantly.
Sträckan till tom tank för ett tungt fordon är värdefull information, både för den enskilde föraren och åkeriet. Förkortad som DTE (Distance to empty) kan detta värde estimeras som kvoten av den nuvarande bränslenivån i tanken och en genomsnittlig bränsleförbrukning.
Denna genomsnittliga bränsleförbrukning är en prediktion av den troligaste framtida snittförbrukningen baserad på tidigare värden. Detta görs genom att ett glömskefilter appliceras på signalen för den aktuella bränsleförbrukningen i motorn. Filterparametern avgör hur snabbt gamla värden på insignalen ska klinga av och när den anpassas så måste önskad stabilitet vägas mot önskad känslighet hos skattningen.
Initialt så används förlagrade värden som skattning för den genomsnittliga bränsleförbrukningen. Detta gör att föraren får en första aning om hur långt fordonet kan köras samt ger DTE estimeringen en bra utgångspunkt. Dessa lagrade värden uppdateras under drift med information från det aktuella fordonet. För att hanterade problem som kan uppstå vid låga hastigheter eller tomgång kan istället tiden till tom tank visas.
Resultatet av DTE skattningen beror på kvalitén på insignalerna. Med de nuvarande insignalerna fås en DTE skattning som över en längre tidsperiod minskar sitt värde i samma takt som avståndsmätaren ökar sitt, vilket är ett önskvärt uppförande.
Om höjddata för en den aktuella rutten skulle användas skulle DTE estimeringen kunna göras mer noggrant. Det skulle dock räcka med att använda höjdinformation var 1000:e meter och ändå få en tillräckligt noggrann skattning.
Gelman, Geoffrey M. (Geoffrey Michael) 1977. "Distance estimation through wavefront curvature in cellular systems". Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80537.
Texto completo da fonteIncludes bibliographical references (leaves 78-79).
by Geoffrey M. Gelman.
S.B.and M.Eng.
Vichare, Nitin Shrikrishna. "Robust Mahalanobis distance in power systems state estimation". Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/40024.
Texto completo da fonteHuang, Kyman. "DISTANCE ESTIMATION USING OFDM SIGNALS FOR ULTRASONIC POSITIONING". DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2147.
Texto completo da fonteCampos, Jennifer L. Sun Hong-Jin. "Multisensory integration in the estimation of distance travelled". *McMaster only, 2007.
Encontre o texto completo da fonteLivros sobre o assunto "Estimation de la distance"
1945-, Kauffman Louis H., e Sandin Daniel J, eds. Hypercomplex iterations: Distance estimation and higher dimensional fractals. River Edge, NJ: World Scientific, 2002.
Encontre o texto completo da fonteSchiffer, Robert G. Long-Distance and Rural Travel Transferable Parameters for Statewide Travel Forecasting Models. WASHINGTON, D.C: TRANSPORTATION RESEARCH BOARD, 2012.
Encontre o texto completo da fonteKoenker, Roger. Momentary lapses: Moment expansions and the robustness of minimum distance estimation. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1991.
Encontre o texto completo da fonte1931-, Saridis George N., e United States. National Aeronautics and Space Administration., eds. Distance estimation and collision prediction for on-line robotic motion planning. Troy, N.Y: Center for Intelligent Robotic Systems for Space Exploration, Rensselaer Polytechnic Institute, 1991.
Encontre o texto completo da fonteK, Niall Keith, Armstrong Laboratory (U.S.) e Armstrong Laboratory (U.S.). Aircrew Training Research Division., eds. Distance estimation with night vision goggles: A direct feedback training method. Brooks Air Force Base, TX: Air Force Materiel Command, Armstrong Laboratory, Human Resources Directorate, 1997.
Encontre o texto completo da fonteLehtonen, Matti. Transient analysis for ground fault distance estimation in electrical distribution networks. Espoo [Finland]: Technical Research Centre of Finland, 1992.
Encontre o texto completo da fonteHiroyuki, Shioya, e Park Chanseok, eds. Statistical inference: The minimum distance approach. Boca Raton: Taylor & Francis, 2011.
Encontre o texto completo da fonteVassilopoulos, V. An image analysis system for identification and distance estimation of road vehicles. Manchester: UMIST, 1995.
Encontre o texto completo da fonteEhrlich, Jennifer A. Effect of viewing conditions on sickness and distance estimation in a virtual environment. Alexandria, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2000.
Encontre o texto completo da fonteWesselman, A. M. The population-sample decomposition method: A distribution-free estimation technique for minimum distance parameters. Dordrecht: M. Nijhoff, 1987.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Estimation de la distance"
Nissen, Ivor. "Distance Estimation". In SpringerBriefs in Electrical and Computer Engineering, 41–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-61658-1_3.
Texto completo da fonteKutoyants, Yu. "Minimum Distance Estimation". In Identification of Dynamical Systems with Small Noise, 217–83. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1020-4_8.
Texto completo da fonteCanter, David, e Stephen K. Tagg. "Distance estimation in cities". In Readings on the Psychology of Place, 56–69. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003313052-7.
Texto completo da fonteDevroye, Luc, e Gábor Lugosi. "The Minimum Distance Estimate: Examples". In Combinatorial Methods in Density Estimation, 70–78. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0125-7_8.
Texto completo da fonteRezaei, Mahdi, e Reinhard Klette. "Vehicle Detection and Distance Estimation". In Computer Vision for Driver Assistance, 147–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50551-0_7.
Texto completo da fonteMarsh, William E., Jean-Rémy Chardonnet e Frédéric Merienne. "Virtual Distance Estimation in a CAVE". In Spatial Cognition IX, 354–69. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11215-2_25.
Texto completo da fonteBuckland, S. T., E. A. Rexstad, T. A. Marques e C. S. Oedekoven. "Design-Based Estimation of Animal Density and Abundance". In Distance Sampling: Methods and Applications, 105–26. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19219-2_6.
Texto completo da fonteHuang, Ge, Flávia C. Delicato, Paulo F. Pires e Albert Y. Zomaya. "Probabilistic Distance Estimation in Wireless Sensor Networks". In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 353–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29154-8_39.
Texto completo da fonteBenlamine, Kaoutar, Younès Bennani, Ahmed Zaiou, Mohamed Hibti, Basarab Matei e Nistor Grozavu. "Distance Estimation for Quantum Prototypes Based Clustering". In Neural Information Processing, 561–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36718-3_47.
Texto completo da fonteWilson, R. E., H. Raichur e B. Paul. "Distance Estimation for Eclipsing X-ray Pulsars". In Astrophysics and Space Science Library, 179–89. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6544-6_10.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Estimation de la distance"
Pelka, Mathias, Martin Mackenberg, Christian Funda e Horst Hellbruck. "Optical underwater distance estimation". In OCEANS 2017 - Aberdeen. IEEE, 2017. http://dx.doi.org/10.1109/oceanse.2017.8084898.
Texto completo da fontePatil, Nishad, Sandeep Menon, Diganta Das e Michael Pecht. "Evaluation of Robust Covariance Estimation Techniques for Anomaly Detection of Insulated Gate Bipolar Transistors (IGBT)". In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3861.
Texto completo da fonteAnderson, Paul W., e Pavel Zahorik. "Auditory and visual distance estimation". In 161st Meeting Acoustical Society of America. Acoustical Society of America, 2011. http://dx.doi.org/10.1121/1.3656353.
Texto completo da fonteFabrizio, Jonathan, e Severine Dubuisson. "Motion Estimation using Tangent Distance". In 2007 IEEE International Conference on Image Processing. IEEE, 2007. http://dx.doi.org/10.1109/icip.2007.4378998.
Texto completo da fonteMorawiec, Garret, Keith K. Niall e Kathleen Scullion. "Distance Estimation and Simulation Training". In Tenth International Conference on Computer Modeling and Simulation (uksim 2008). IEEE, 2008. http://dx.doi.org/10.1109/uksim.2008.66.
Texto completo da fonteZhang, Yi, Madeline J. Goh e Vidya Nariyambut Murali. "Vision Based Object Distance Estimation". In WCX™ 17: SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2017. http://dx.doi.org/10.4271/2017-01-0109.
Texto completo da fonteWuxiang, Cao, Xia Yong e Yu Shidong. "Estimation of maximum interference distance". In SEG Technical Program Expanded Abstracts 2007. Society of Exploration Geophysicists, 2007. http://dx.doi.org/10.1190/1.2793037.
Texto completo da fonteAmagata, Daichi, Yusuke Arai, Sumio Fujita e Takahiro Hara. "Learned k-NN distance estimation". In SIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3557915.3560935.
Texto completo da fonteQin, Lianke, Aravind Reddy e Zhao Song. "Online Adaptive Mahalanobis Distance Estimation". In 2023 IEEE International Conference on Big Data (BigData). IEEE, 2023. http://dx.doi.org/10.1109/bigdata59044.2023.10386869.
Texto completo da fonteStrauss, Mark, e James V. Carnahan. "Observed Errors in Distance Estimation". In SAE 2010 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2010. http://dx.doi.org/10.4271/2010-01-0046.
Texto completo da fonteRelatórios de organizações sobre o assunto "Estimation de la distance"
Fluitt, Kim F., Timothy Mermagen e Tomasz Letowski. Auditory Perception in Open Field: Distance Estimation. Fort Belvoir, VA: Defense Technical Information Center, julho de 2013. http://dx.doi.org/10.21236/ada588823.
Texto completo da fonteEslinger, Paul W., e Wayne A. Woodward. Minimum Hellinger Distance Estimation for Normal Models. Fort Belvoir, VA: Defense Technical Information Center, outubro de 1990. http://dx.doi.org/10.21236/ada228714.
Texto completo da fonteReising, Jack D., e Elizabeth L. Martin. Distance Estimation Training with Night Vision Goggles Under Low Illumination. Fort Belvoir, VA: Defense Technical Information Center, janeiro de 1995. http://dx.doi.org/10.21236/ada291338.
Texto completo da fonteTraina, Caetano, Traina Jr., Faloutsos Agma J. e Christos. Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees. Fort Belvoir, VA: Defense Technical Information Center, março de 1999. http://dx.doi.org/10.21236/ada363780.
Texto completo da fonteNiall, Keith K., Jack D. Reising, Elizabeth L. Martin e Marcus H. Gregory. Distance Estimation with Night Vision Goggles: A Direct Feedback Training Method. Fort Belvoir, VA: Defense Technical Information Center, junho de 1997. http://dx.doi.org/10.21236/ada328758.
Texto completo da fonteEhrlich, Jennifer A. Effect of Viewing Conditions on Sickness and Distance Estimation in a Virtual Environment. Fort Belvoir, VA: Defense Technical Information Center, fevereiro de 2000. http://dx.doi.org/10.21236/ada393953.
Texto completo da fonteJerome, Christian J., e Bob G. Witmer. The Perception and Estimation of Egocentric Distance in Real and Augmented Reality Environments. Fort Belvoir, VA: Defense Technical Information Center, maio de 2008. http://dx.doi.org/10.21236/ada493544.
Texto completo da fonteOzeki, Toru, e Donald E. Irish. Estimation of the Concentration-Distance Profile within the Electrochemical Diffusion Layer by Raman Microprobe Spectroscopy. Fort Belvoir, VA: Defense Technical Information Center, março de 1990. http://dx.doi.org/10.21236/ada219521.
Texto completo da fonteStastny, Petr, Robert Roczniok, Daniel Cleather, Martin Musalek, Dominik Novak e Michal Vagner. Straight speed and acceleration optimal distances and reference values. A systematic review, and meta-analyses. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, maio de 2022. http://dx.doi.org/10.37766/inplasy2022.5.0010.
Texto completo da fonteHerrin, Eugene, e Tom Goforth. Development of Seismic Signal Processing and Yield Estimation Techniques for Use at Regional to Teleseismic Distance. Fort Belvoir, VA: Defense Technical Information Center, dezembro de 1986. http://dx.doi.org/10.21236/ada182349.
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