Auswahl der wissenschaftlichen Literatur zum Thema „Estimation de la distance“
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Zeitschriftenartikel zum Thema "Estimation de la distance"
Kronenfeld, Barry J. „A Plotless Density Estimator Based on the Asymptotic Limit of Ordered Distance Estimation Values“. Forest Science 55, Nr. 4 (01.08.2009): 283–92. http://dx.doi.org/10.1093/forestscience/55.4.283.
Der volle Inhalt der QuelleMakaremi, Masrour, Rafael Ristor, François de Brondeau, Agathe Choquart, Camille Mengelle und Bernard N’Kaoua. „Estimation of Distances within Real and Virtual Dental Models as a Function of Task Complexity“. Diagnostics 13, Nr. 7 (30.03.2023): 1304. http://dx.doi.org/10.3390/diagnostics13071304.
Der volle Inhalt der QuelleWartenberg, Constanze, und Per Wiborg. „Precision of Exocentric Distance Judgments in Desktop and Cube Presentation“. Presence: Teleoperators and Virtual Environments 12, Nr. 2 (April 2003): 196–206. http://dx.doi.org/10.1162/105474603321640941.
Der volle Inhalt der QuelleNam, Gyeong-Mo, und Eui-Rim Jeong. „Distance Estimation Based on Deep Convolutional Neural Network Using Ultra-Wideband Signals“. Journal of Computational and Theoretical Nanoscience 17, Nr. 7 (01.07.2020): 3212–17. http://dx.doi.org/10.1166/jctn.2020.9163.
Der volle Inhalt der QuelleNadeau, Christopher P., und Courtney J. Conway. „Field evaluation of distance-estimation error during wetland-dependent bird surveys“. Wildlife Research 39, Nr. 4 (2012): 311. http://dx.doi.org/10.1071/wr11161.
Der volle Inhalt der QuelleAllen, Robert C., Daniel P. McDonald und Michael J. Singer. „Landmark Direction and Distance Estimation in Large Scale Virtual Environments“. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, Nr. 2 (Oktober 1997): 1213–17. http://dx.doi.org/10.1177/1071181397041002109.
Der volle Inhalt der QuelleWitmer, Bob G., und Paul B. Kline. „Judging Perceived and Traversed Distance in Virtual Environments“. Presence: Teleoperators and Virtual Environments 7, Nr. 2 (April 1998): 144–67. http://dx.doi.org/10.1162/105474698565640.
Der volle Inhalt der QuelleYoon, Jeonghyeon, Jisoo Oh und Seungku Kim. „Transfer Learning Approach for Indoor Localization with Small Datasets“. Remote Sensing 15, Nr. 8 (17.04.2023): 2122. http://dx.doi.org/10.3390/rs15082122.
Der volle Inhalt der QuelleLampton, Donald R., Daniel P. McDonald, Michael Singer und James P. Bliss. „Distance Estimation in Virtual Environments“. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, Nr. 20 (Oktober 1995): 1268–72. http://dx.doi.org/10.1177/154193129503902006.
Der volle Inhalt der QuelleKim, Sunyong, Sun Young Park, Daehoon Kwon, Jaehyun Ham, Young-Bae Ko und Hyuk Lim. „Two-hop distance estimation in wireless sensor networks“. International Journal of Distributed Sensor Networks 13, Nr. 2 (Februar 2017): 155014771668968. http://dx.doi.org/10.1177/1550147716689683.
Der volle Inhalt der QuelleDissertationen zum Thema "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/.
Der volle Inhalt der QuelleTekaya, Souhaiel Ben. „Distance estimation using handheld devices“. Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/34753.
Der volle Inhalt der QuelleThe 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.
Der volle Inhalt der QuelleLammi, J. (Jouni), P. (Petteri) Moilanen und A. (Aleksi) Sierilä. „Size and distance estimation in virtual reality“. Bachelor's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201906132541.
Der volle Inhalt der QuelleWarwick, Jane. „Selecting tuning parameters in minimum distance estimators“. n.p, 2001. http://ethos.bl.uk/.
Der volle Inhalt der QuelleEriksson, 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.
Der volle Inhalt der QuelleThe 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.
Der volle Inhalt der QuelleIncludes 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.
Der volle Inhalt der QuelleHuang, Kyman. „DISTANCE ESTIMATION USING OFDM SIGNALS FOR ULTRASONIC POSITIONING“. DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2147.
Der volle Inhalt der QuelleCampos, Jennifer L. Sun Hong-Jin. „Multisensory integration in the estimation of distance travelled“. *McMaster only, 2007.
Den vollen Inhalt der Quelle findenBücher zum Thema "Estimation de la distance"
1945-, Kauffman Louis H., und Sandin Daniel J, Hrsg. Hypercomplex iterations: Distance estimation and higher dimensional fractals. River Edge, NJ: World Scientific, 2002.
Den vollen Inhalt der Quelle findenSchiffer, Robert G. Long-Distance and Rural Travel Transferable Parameters for Statewide Travel Forecasting Models. WASHINGTON, D.C: TRANSPORTATION RESEARCH BOARD, 2012.
Den vollen Inhalt der Quelle findenKoenker, 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.
Den vollen Inhalt der Quelle finden1931-, Saridis George N., und United States. National Aeronautics and Space Administration., Hrsg. 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.
Den vollen Inhalt der Quelle findenK, Niall Keith, Armstrong Laboratory (U.S.) und Armstrong Laboratory (U.S.). Aircrew Training Research Division., Hrsg. 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.
Den vollen Inhalt der Quelle findenLehtonen, Matti. Transient analysis for ground fault distance estimation in electrical distribution networks. Espoo [Finland]: Technical Research Centre of Finland, 1992.
Den vollen Inhalt der Quelle findenHiroyuki, Shioya, und Park Chanseok, Hrsg. Statistical inference: The minimum distance approach. Boca Raton: Taylor & Francis, 2011.
Den vollen Inhalt der Quelle findenVassilopoulos, V. An image analysis system for identification and distance estimation of road vehicles. Manchester: UMIST, 1995.
Den vollen Inhalt der Quelle findenEhrlich, 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.
Den vollen Inhalt der Quelle findenWesselman, A. M. The population-sample decomposition method: A distribution-free estimation technique for minimum distance parameters. Dordrecht: M. Nijhoff, 1987.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "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.
Der volle Inhalt der QuelleKutoyants, 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.
Der volle Inhalt der QuelleCanter, David, und 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.
Der volle Inhalt der QuelleDevroye, Luc, und 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.
Der volle Inhalt der QuelleRezaei, Mahdi, und 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.
Der volle Inhalt der QuelleMarsh, William E., Jean-Rémy Chardonnet und 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.
Der volle Inhalt der QuelleBuckland, S. T., E. A. Rexstad, T. A. Marques und 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.
Der volle Inhalt der QuelleHuang, Ge, Flávia C. Delicato, Paulo F. Pires und 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.
Der volle Inhalt der QuelleBenlamine, Kaoutar, Younès Bennani, Ahmed Zaiou, Mohamed Hibti, Basarab Matei und 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.
Der volle Inhalt der QuelleWilson, R. E., H. Raichur und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Estimation de la distance"
Pelka, Mathias, Martin Mackenberg, Christian Funda und Horst Hellbruck. „Optical underwater distance estimation“. In OCEANS 2017 - Aberdeen. IEEE, 2017. http://dx.doi.org/10.1109/oceanse.2017.8084898.
Der volle Inhalt der QuellePatil, Nishad, Sandeep Menon, Diganta Das und 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.
Der volle Inhalt der QuelleAnderson, Paul W., und 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.
Der volle Inhalt der QuelleFabrizio, Jonathan, und 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.
Der volle Inhalt der QuelleMorawiec, Garret, Keith K. Niall und 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.
Der volle Inhalt der QuelleZhang, Yi, Madeline J. Goh und 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.
Der volle Inhalt der QuelleWuxiang, Cao, Xia Yong und 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.
Der volle Inhalt der QuelleAmagata, Daichi, Yusuke Arai, Sumio Fujita und 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.
Der volle Inhalt der QuelleQin, Lianke, Aravind Reddy und 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.
Der volle Inhalt der QuelleStrauss, Mark, und 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Estimation de la distance"
Fluitt, Kim F., Timothy Mermagen und Tomasz Letowski. Auditory Perception in Open Field: Distance Estimation. Fort Belvoir, VA: Defense Technical Information Center, Juli 2013. http://dx.doi.org/10.21236/ada588823.
Der volle Inhalt der QuelleEslinger, Paul W., und Wayne A. Woodward. Minimum Hellinger Distance Estimation for Normal Models. Fort Belvoir, VA: Defense Technical Information Center, Oktober 1990. http://dx.doi.org/10.21236/ada228714.
Der volle Inhalt der QuelleReising, Jack D., und Elizabeth L. Martin. Distance Estimation Training with Night Vision Goggles Under Low Illumination. Fort Belvoir, VA: Defense Technical Information Center, Januar 1995. http://dx.doi.org/10.21236/ada291338.
Der volle Inhalt der QuelleTraina, Caetano, Traina Jr., Faloutsos Agma J. und Christos. Distance Exponent: A New Concept for Selectivity Estimation in Metric Trees. Fort Belvoir, VA: Defense Technical Information Center, März 1999. http://dx.doi.org/10.21236/ada363780.
Der volle Inhalt der QuelleNiall, Keith K., Jack D. Reising, Elizabeth L. Martin und Marcus H. Gregory. Distance Estimation with Night Vision Goggles: A Direct Feedback Training Method. Fort Belvoir, VA: Defense Technical Information Center, Juni 1997. http://dx.doi.org/10.21236/ada328758.
Der volle Inhalt der QuelleEhrlich, Jennifer A. Effect of Viewing Conditions on Sickness and Distance Estimation in a Virtual Environment. Fort Belvoir, VA: Defense Technical Information Center, Februar 2000. http://dx.doi.org/10.21236/ada393953.
Der volle Inhalt der QuelleJerome, Christian J., und Bob G. Witmer. The Perception and Estimation of Egocentric Distance in Real and Augmented Reality Environments. Fort Belvoir, VA: Defense Technical Information Center, Mai 2008. http://dx.doi.org/10.21236/ada493544.
Der volle Inhalt der QuelleOzeki, Toru, und 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, März 1990. http://dx.doi.org/10.21236/ada219521.
Der volle Inhalt der QuelleStastny, Petr, Robert Roczniok, Daniel Cleather, Martin Musalek, Dominik Novak und 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, Mai 2022. http://dx.doi.org/10.37766/inplasy2022.5.0010.
Der volle Inhalt der QuelleHerrin, Eugene, und 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, Dezember 1986. http://dx.doi.org/10.21236/ada182349.
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