Academic literature on the topic 'Multiple sensors'
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Journal articles on the topic "Multiple sensors"
Pearlshtien, Daniela Heller, Stefano Pignatti, and Eyal Ben-Dor. "Vicarious CAL/VAL Approach for Orbital Hyperspectral Sensors Using Multiple Sites." Remote Sensing 15, no. 3 (January 29, 2023): 771. http://dx.doi.org/10.3390/rs15030771.
Full textUmeda, Kazunori, Jun Ota, and Hisayuki Kimura. "Fusion of Multiple Ultrasonic Sensor Data and Image Data for Measuring an Object’s Motion." Journal of Robotics and Mechatronics 17, no. 1 (February 20, 2005): 36–43. http://dx.doi.org/10.20965/jrm.2005.p0036.
Full textYu, Jerry. "Deflation-activated receptors, not classical inflation-activated receptors, mediate the Hering-Breuer deflation reflex." Journal of Applied Physiology 121, no. 5 (November 1, 2016): 1041–46. http://dx.doi.org/10.1152/japplphysiol.00903.2015.
Full textLi, Sijia, Chi-Lin Chen, and Kenneth J. Loh. "Laboratory Evaluation of Railroad Crosslevel Tilt Sensing Using Electrical Time Domain Reflectometry." Sensors 20, no. 16 (August 10, 2020): 4470. http://dx.doi.org/10.3390/s20164470.
Full textShimojima, Koji, Toshio Fukuda, Fumihito Arai, and Hideo Matsuura. "Multi-Sensor Integration System utilizing Fuzzy Inference and Neural Network." Journal of Robotics and Mechatronics 4, no. 5 (October 20, 1992): 416–21. http://dx.doi.org/10.20965/jrm.1992.p0416.
Full textWei, Nannan, Limin Zhang, and Xinggan Zhang. "A Weighted Decision-Level Fusion Architecture for Ballistic Target Classification in Midcourse Phase." Sensors 22, no. 17 (September 2, 2022): 6649. http://dx.doi.org/10.3390/s22176649.
Full textAshok, Pradeepkumar, Ganesh Krishnamoorthy, and Delbert Tesar. "Guidelines for Managing Sensors in Cyber Physical Systems with Multiple Sensors." Journal of Sensors 2011 (2011): 1–15. http://dx.doi.org/10.1155/2011/321709.
Full textGuo, Yixuan, and Gaoyang Liang. "Perceptual Feedback Mechanism Sensor Technology in e-Commerce IoT Application Research." Journal of Sensors 2021 (September 28, 2021): 1–12. http://dx.doi.org/10.1155/2021/3840103.
Full textJayasinghe, Udeni, William S. Harwin, and Faustina Hwang. "Comparing Clothing-Mounted Sensors with Wearable Sensors for Movement Analysis and Activity Classification." Sensors 20, no. 1 (December 21, 2019): 82. http://dx.doi.org/10.3390/s20010082.
Full textNagai, Isaku, Jun Sakai, and Keigo Watanabe. "Indoor Self-Localization Using Multiple Magnetic Sensors." Journal of Robotics and Mechatronics 31, no. 2 (April 20, 2019): 203–11. http://dx.doi.org/10.20965/jrm.2019.p0203.
Full textDissertations / Theses on the topic "Multiple sensors"
Ribadeneira, M. Xavier. "Ball bearing diagnostics with multiple sensors." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/18963.
Full textPatsikas, Dimitrios. "Track score processing of multiple dissimilar sensors." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://bosun.nps.edu/uhtbin/hyperion-image.exe/07Jun%5FPatsikas.pdf.
Full textThesis Advisor(s): Phillip E. Pace, Murali Tummala, Gamani Karunasiri. "June 2007." Includes bibliographical references (p. 57-58). Also available in print.
De, Villiers Hendrik Barney. "Correlation and tracking using multiple radar sensors /." Link to the online version, 2006. http://hdl.handle.net/10019/1006.
Full textDe, Villiers Hendrik Barney. "Correlation and tracking using multiple radar sensors." Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/2265.
Full textTracking manoeuvring military airborne targets with radar is problematic due to the low scan rates and the high levels of measurement noise. Surveillance systems using multiple radars have the benefit of an increased rate of observation and noise reduction but also have the problem of correlating observations from multiple sensors. Mehtods are discussed to correlate single observations from multiple radar sensors as well as assigning observations to existing tracks. Filtering methods to reduce measurement noise of the target tracks and methods to extrapolate the predicted position of targets are also explored.
He, Shaojun. "Integration of Multiple Sensors for Astronaut Navigation on The Lunar Surface." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1324496686.
Full textBoratynski, B., A. Stafiniak, A. Szyszka, M. Ramiaczek-Krasowska, R. Paszkiewicz, M. Tlaczala, A. Baranowska-Korczyc, K. Fronc, and D. Elbaum. "New fabrication approach to ZnO multiple nanofiber sensors." Thesis, Sumy State University, 2011. http://essuir.sumdu.edu.ua/handle/123456789/20587.
Full textXiao, Xiangyu. "A Multiple Sensors Approach to Wood Defect Detection." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/11145.
Full textPh. D.
Tran, Dung T. "An approach to activity recognition using multiple sensors /." Full text available, 2006. http://adt.curtin.edu.au/ETD-db/ETD-maint/view_etd?URN=adt-WCU20071219.140320.
Full textTran, Tien Dung. "An approach to activity recognition using multiple sensors." Thesis, Curtin University, 2006. http://hdl.handle.net/20.500.11937/1702.
Full textTran, Tien Dung. "An approach to activity recognition using multiple sensors." Curtin University of Technology, School of Computing, 2006. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=17568.
Full textWe examine the approximate variational method to significantly reduce the time required for training the model instead of using the exact method. A system of fixed point equations is derived to iteratively update the free variational parameters. We also present the factored model in the case where all variables are continuous with the use of the conditional Gaussian distribution to model state transitions. The variational method is still employed in this case to speed up the model’s training process. The developed model is implemented and applied in recognizing daily activity in our smart home and the Nokia lab from multiple sensors. The experimental results show that the model is appropriate for fusing multiple sensors in activity recognition with a reasonable recognition performance.
Books on the topic "Multiple sensors"
Aranda, Miguel, Gonzalo López-Nicolás, and Carlos Sagüés. Control of Multiple Robots Using Vision Sensors. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57828-6.
Full textVernede, L. Multiple acoustic sensor detection system. Manchester: UMIST, 1993.
Find full textIreland), Sense (Northern. Report on dual & multiple sensory handicapped people. Belfast: Sense NorthernIreland, 1991.
Find full textI, Rumiati Raffaella, and Caramazza Alfonso, eds. The Multiple functions of sensory-motor representations. Hove: Psychology Press, 2005.
Find full textGlover, M. H. Evaluation of a multiple-sensor weigh-in-motion system. Crowthorne, Berks: Transport and Road Research Laboratory, Vehicles Group, Vehicles and Environment Division, 1991.
Find full textF, Keane John. An analysis of multiple sensor system payloads for unmanned aerial vehicles. Monterey, Calif: Naval Postgraduate School, 1993.
Find full textWang, Yue. Search and Classification Using Multiple Autonomous Vehicles: Decision-Making and Sensor Management. 2nd ed. London: Springer London, 2012.
Find full textC, Lee Thomas H., ed. The new and the multiple: Sung senses of the past. Hong Kong: Chinese University Press, 2004.
Find full textFowler, Susan. Sensory stimulation: Theory and activity ideas (for adults with physical and multiple disabilities). [Victoria]: Spastic Society of Victoria, 1997.
Find full textFoster, Timothy A. C² information management : data fusion and track ID's in a multiple sensor environment. Monterey, Calif: Naval Postgraduate School, 1992.
Find full textBook chapters on the topic "Multiple sensors"
Marchant, Roman, Pablo Guerrero, and Javier Ruiz-del-Solar. "Cooperative Global Tracking Using Multiple Sensors." In RoboCup 2012: Robot Soccer World Cup XVI, 310–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39250-4_28.
Full textMaida, Gabriele, and Marco Morana. "Gait Analysis Using Multiple Kinect Sensors." In Advances in Intelligent Systems and Computing, 167–77. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03992-3_12.
Full textSong, Wei, Seoungjae Cho, Kyungeun Cho, and Kyhyun Um. "Three-Dimensional Scene Reconstruction Using Multiple Sensors." In Lecture Notes in Electrical Engineering, 463–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55038-6_72.
Full textBečanović, Vlatko, Ramin Hosseiny, and Giacomo Indiveri. "Object Tracking Using Multiple Neuromorphic Vision Sensors." In RoboCup 2004: Robot Soccer World Cup VIII, 426–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-32256-6_36.
Full textMatos, Nuno, António Santos, and Ana Vasconcelos. "A Virtual Rehabilitation Solution Using Multiple Sensors." In Communications in Computer and Information Science, 143–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48645-0_13.
Full textAranda, Miguel, Gonzalo López-Nicolás, and Carlos Sagüés. "Introduction." In Control of Multiple Robots Using Vision Sensors, 1–18. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57828-6_1.
Full textAranda, Miguel, Gonzalo López-Nicolás, and Carlos Sagüés. "Angle-Based Navigation Using the 1D Trifocal Tensor." In Control of Multiple Robots Using Vision Sensors, 19–51. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57828-6_2.
Full textAranda, Miguel, Gonzalo López-Nicolás, and Carlos Sagüés. "Vision-Based Control for Nonholonomic Vehicles." In Control of Multiple Robots Using Vision Sensors, 53–77. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57828-6_3.
Full textAranda, Miguel, Gonzalo López-Nicolás, and Carlos Sagüés. "Controlling Mobile Robot Teams from 1D Homographies." In Control of Multiple Robots Using Vision Sensors, 79–102. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57828-6_4.
Full textAranda, Miguel, Gonzalo López-Nicolás, and Carlos Sagüés. "Control of Mobile Robot Formations Using Aerial Cameras." In Control of Multiple Robots Using Vision Sensors, 103–30. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57828-6_5.
Full textConference papers on the topic "Multiple sensors"
Lin, Hsing-Ying, Chen-Han Huang, Yu-Chia Liu, Kuo-Wei Huang, and Lai-Kwan Chau. "Multiplex fiber-optic biosensor using multiple particle plasmon resonances." In Asia Pacific Optical Sensors Conference, edited by John Canning and Gangding Peng. SPIE, 2012. http://dx.doi.org/10.1117/12.914383.
Full textTajti, Tibor, and Nagy Benedek. "Motion sensor data correction using multiple sensors and multiple measurements." In 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2016. http://dx.doi.org/10.1109/sami.2016.7423022.
Full textJangampet, Vinay Dutt, Rahul Dixit, David Klotzkin, and Ian Papautsky. "Simultaneous, single-detector fluorescence detection of multiple fluorescent dyes." In 2010 Ninth IEEE Sensors Conference (SENSORS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icsens.2010.5690305.
Full textFonollosa, J., A. Vergara, and R. Huerta. "Sensor failure mitigation based on multiple kernels." In 2012 IEEE Sensors. IEEE, 2012. http://dx.doi.org/10.1109/icsens.2012.6411124.
Full textWilliams, Jason L. "Experiments with graphical model implementations of multiple target multiple Bernoulli filters." In 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE, 2011. http://dx.doi.org/10.1109/issnip.2011.6146620.
Full textSeeley, Charles E., and Sai S. Sarva. "Development of a Multi-Function Sensors." In ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2009. http://dx.doi.org/10.1115/smasis2009-1319.
Full textYun, Hansik, Hyeonsoo Park, and Byoungho Lee. "Detection of Heterogeneous Characteristics Using Multiple Surface Plasmon Resonance Dips." In Optical Sensors. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/sensors.2013.st4b.4.
Full textShi, Hongyang, Xinda Qi, Yunqi Cao, Nelson Sepúlveda, Chuan Wang, and Xiaobo Tan. "Highly Stretchable Resistive Strain Sensors Using Multiple Viscous Conductive Materials." In ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/smasis2020-2321.
Full textSaad, Nor Hayati, Carl J. Anthony, Raya Al-Dadah, and Michael C. L. Ward. "Exploitation of multiple sensor arrays in electronic nose." In 2009 IEEE Sensors. IEEE, 2009. http://dx.doi.org/10.1109/icsens.2009.5398487.
Full textLee, Boon-Giin, Kyung-Hoon Do, and Wan-Young Chung. "WSN based 3D mobile indoor multiple user tracking." In 2009 IEEE Sensors. IEEE, 2009. http://dx.doi.org/10.1109/icsens.2009.5398494.
Full textReports on the topic "Multiple sensors"
Keeney, James T. Multiple Usage of Existing Satellite Sensors. Fort Belvoir, VA: Defense Technical Information Center, July 2006. http://dx.doi.org/10.21236/ada459023.
Full textMurray, Steven A. Human-Machine Interaction With Multiple Autonomous Sensors. Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada422501.
Full textKeeney, James T. Multiple Usage of Existing Satellite Sensors (PREPRINT). Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada459022.
Full textLee, T. S. Non-Model Based Estimation with Applications to Sensor Calibration Using Multiple Sensors. Fort Belvoir, VA: Defense Technical Information Center, April 1985. http://dx.doi.org/10.21236/ada154736.
Full textChau, Y. A., and E. Geraniotis. Distributed Detection from Multiple Sensors with Correlated Observations. Fort Belvoir, VA: Defense Technical Information Center, January 1989. http://dx.doi.org/10.21236/ada454790.
Full textTugnait, Jitendra K. Tracking of Multiple Maneuvering Targets in Clutter Using Multiple Sensors, IMM and JPDA Coupled Filtering. Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada417569.
Full textKibbe, Marion P., and Scott A. Weisgerber. Targeting Decisions Using Multiple Imaging Sensors: Operator Performance and Calibration. Fort Belvoir, VA: Defense Technical Information Center, February 1990. http://dx.doi.org/10.21236/ada224277.
Full textGeranlotis, E., and Y. A. Chau. Distributed Detection of Weak Signals From Multiple Sensors With Correlated Observations. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada452624.
Full textMaurer, Uwe, Asim Smailagic, Daniel P. Siewiorek, and Michael Deisher. Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions. Fort Belvoir, VA: Defense Technical Information Center, April 2006. http://dx.doi.org/10.21236/ada534437.
Full textZakhor, Avideh. (DCT-FY08) Target Detection Using Multiple Modality Airborne and Ground Based Sensors. Fort Belvoir, VA: Defense Technical Information Center, March 2013. http://dx.doi.org/10.21236/ada580839.
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