Trajectory

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A trajectory is the path that a moving object follows through space as a function of time. The object might be a projectile or a satellite, for example. It thus includes the meaning of orbit—the path of a planet, an asteroid or a comet as it travels around a central mass. (Wikipedia.org)






Conferences related to Trajectory

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2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)

AVSS 2018 addresses underlying theory, methods, systems, and applications of video and signal based surveillance.


2018 15th International Workshop on Advanced Motion Control (AMC)

1. Advanced Motion Control2. Haptics, Robotics and Human-Machine Systems3. Micro/Nano Motion Control Systems4. Intelligent Motion Control Systems5. Nonlinear, Adaptive and Robust Control Systems6. Motion Systems for Robot Intelligence and Humanoid Robotics7. CPG based Feedback Control, Morphological Control8. Actuators and Sensors in Motion System9. Motion Control of Aerial/Ground/Underwater Robots10. Advanced Dynamics and Motion Control11. Motion Control for Assistive and Rehabilitative Robots and Systems12. Intelligent and Advanced Traffic Controls13. Computer Vision in Motion Control14. Network and Communication Technologies in Motion Control15. Motion Control of Soft Robots16. Automation Technologies in Primary Industries17. Other Topics and Applications Involving Motion Dynamics and Control


2018 20th European Conference on Power Electronics and Applications (EPE'18 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


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Periodicals related to Trajectory

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Most published Xplore authors for Trajectory

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Xplore Articles related to Trajectory

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Singularity and joint limits avoidance for parallel mechanisms using the Filtered Inverse method

[{u'author_order': 1, u'affiliation': u'Department of Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, 22451-900, Brazil', u'full_name': u'Antonio C. Leite'}, {u'author_order': 2, u'affiliation': u'Department of Electrical Engineering, COPPE/Federal University of Rio de Janeiro, P. O. Box 68504, 21941-972, Brazil', u'full_name': u'Ramon R. Costa'}] 2016 American Control Conference (ACC), None

In this work, we address the inverse kinematics problem for parallel mechanisms using a differential kinematics approach based on the recently proposed Filtered Inverse method. The key idea behind the method is to employ an inversion algorithm which dynamically estimates the inverse of the Jacobian matrix, rather than using the instantaneous calculation of the true inverse. An interesting property of ...


Locating human interactions with discriminatively trained deformable pose+motion parts

[{u'author_order': 1, u'affiliation': u'Interaction Technology Group, Department of Information and Computing Sciences, Utrecht University, The Netherlands', u'full_name': u'Coert van Gemeren'}, {u'author_order': 2, u'affiliation': u'Interaction Technology Group, Department of Information and Computing Sciences, Utrecht University, The Netherlands', u'full_name': u'Ronald Poppe'}, {u'author_order': 3, u'affiliation': u'Interaction Technology Group, Department of Information and Computing Sciences, Utrecht University, The Netherlands', u'full_name': u'Remco C. Veltkamp'}] 2016 23rd International Conference on Pattern Recognition (ICPR), None

We model dyadic (two-person) interactions by discriminatively training a spatio-temporal deformable part model of fine-grained human interactions. All interactions involve at most two persons. Our models are capable of localizing human interactions in unsegmented videos, marking the interactions of interest in space and time. Our contributions are as follows: First, we create a model that localizes human interactions in space ...


Continuous global evidence-based Bayesian modality fusion for simultaneous tracking of multiple objects

[{u'author_order': 1, u'affiliation': u'Dept. of Comput. Sci., Queen Mary Univ., London, UK', u'full_name': u'J. Sherrah'}, {u'author_order': 2, u'full_name': u'Shaogang Gong'}] Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, None

Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian network with discrete spatial variables which suffers from discretisation and computational complexity problems. We present a new Bayesian modality fusion network that uses continuous domain variables. The network architecture distinguishes between cues that ...


A new invariance property of Lyapunov characteristic directions

[{u'author_order': 1, u'affiliation': u'Dept. of Mech. & Aerosp. Eng., California Univ., Irvine, CA, USA', u'full_name': u'S. Bharadwaj'}, {u'author_order': 2, u'full_name': u'K. D. Mease'}] Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), None

Lyapunov exponents and direction fields are used to characterize the time- scales and geometry of general linear time-varying (LTV) systems of differential equations. We bring to light new invariance properties of Lyapunov direction fields to show that they are analogous to the Schur vectors of an linear time invariant (LTI) system and reduce to the Schur vectors when computed for ...


Random access for compressed light fields using multiple representations

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng., Stanford Univ., CA, USA', u'full_name': u'P. Ramanathan'}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. Eng., Stanford Univ., CA, USA', u'full_name': u'B. Girod'}] IEEE 6th Workshop on Multimedia Signal Processing, 2004., None

Image-based rendering data sets, such as light fields, require efficient compression due to their large data size, but also easy random access when rendering from or streaming the data set. Efficient compression usually depends upon prediction between images, which creates dependencies between them, making random access more difficult. Independent encoding of the images is less efficient but provides random access, ...


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Educational Resources on Trajectory

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eLearning

No eLearning Articles are currently tagged "Trajectory"

IEEE-USA E-Books

  • Principal Concepts of Fractal Theory and Self‐Similar Processes

    This chapter contains sections titled: Fractals and Multifractals Self‐Similar Processes 'Heavy Tails' Hurst Exponent Estimation Hurst Exponent Estimation Problems Self‐Similarity Origins in Telecommunication Traffic References

  • Microscopic Vehicular Mobility Models

    This chapter contains sections titled: Simple Microscopic Mobility Models The SUMO Mobility Model Integrating Vehicular Mobility and Wireless Network Simulation References

  • SATELLITE ORBITS

    This chapter considers the analysis and characterization of satellite orbits based on Newton's laws of motion, his law of universal gravitation, and Kepler's laws of planetary motion. It applies these laws to the Earth's elliptical satellite orbits with the Earth at one focus; the circular orbit being a special case. The emphasis is on characterizing communication links between the Earth and various satellites and crosslinks between satellites. In addition to elliptical satellite orbits, the results also apply to ballistic missile trajectories. The chapter evaluates the range, range‐rate (velocity), and acceleration along the line of sight (LOS) between a satellite and ground station and characterizes the range, Doppler, and Doppler rate based on the results. The Earth stations are defined in terms of their latitude and longitude with respect to the Earth‐centered Earth‐fixed coordinate system. The location of a satellite in its orbital is determined using the six orbital parameters.

  • Fusion of Hard and Soft Control Strategies I

    This chapter introduces feedback linearization, presenting proportional‐integral‐derivative (PID) control, optimal control, and adaptive control, and simulations in relation to hard and soft control strategies to the robotic or prosthetic hand. Proportional‐derivative (PD) controller is the simplest closed‐loop controller which is used to control the robotic manipulators. PD controller uses the feedback combination of proportional part (position) and derivative part. The main objective of optimal control is to determine control signals that will cause a process (plant) to satisfy some physical constraints and at the same time extremize (maximize and minimize) a chosen performance criterion (performance index or cost function. The closed‐loop finite‐time linear quadratic optimal controller through Pontryagin minimum principle is implemented to track the desired trajectory planning using cubic polynomial.

  • Cognitive Radio Network as Sensors

    This chapter contains sections titled: Intrusion Detection by Machine Learning Joint Spectrum Sensing and Localization Distributed Aspect Synthetic Aperture Radar Wireless Tomography Mobile Crowdsensing Integration of 3S The Cyber‐Physical System Computing Security and Privacy Summary

  • The Random Waypoint Model

    **This book highlights the practices for designing effective protocols/applications for next generation wireless networks** In this book, the author provides the reader with an overview of mobility modeling, encompassing both theoretical and practical aspects related to the challenging mobility modeling task. The first part of the book introduces next generation wireless networks, providing motivations for the need of carefully modeling mobility as part of the network performance evaluation process. In addition, it describes "general-purpose" mobility models (i.e., models that are not tailored to specific application scenarios), including both theoretical and practical aspects. Furthermore, the author explores mobility models tailored to specific application scenarios of next generation wireless networks. In particular, the author considers WLAN/mesh networks, vehicular networks, wireless sensor networks, and opportunistic networks. For each considere application scenario, the book briefly presents the state-of-the-art and prospective of the corresponding technology as well as a representative set of mobility models. Finally, the book offers two case studies, which illustrate exemplary situations in which a deep understanding of mobility modeling can be used to devise a "perfect" wireless network simulation methodology (Case study 1), and to characterize fundamental properties of message routing in opportunistic networks, also including social human behavior (Case study 2). _Key Features:_ * Offers an in-depth discussion of the most representative mobility models for major next generation wireless network application scenarios, including WLAN/mesh networks, vehicular networks, wireless sensor networks, and opportunistic networks * Demonstrates the practices for designing effective protocol/applications for next generation wireless networks * Includes case studies showcasing the im ortance of properly understanding fundamental mobility model properties in wireless network performance evaluation _Mobility Models for Next Generation Wireless Networks_ will be an invaluable guide for researchers and engineers in the field of wireless networking, and graduate students in computer science and engineering. It will also be of interest to wireless professionals and networking system developers.

  • Introduction

    Introduction to iterative learning control and multi¿¿¿agent systems coordination. Brief examples are provided to illustrate the methods and concepts.

  • Video Anomaly Detection

    We present a comprehensive overview of techniques for detecting rare or unusual patterns in transportation video. The anomaly detection problem is parsed into two stages: event encoding and anomaly detection model, and various approaches in each stage are presented. Anomaly detection models are broadly classified into structured versus unstructured and supervised versus unsupervised methods, based on how much information is known about normal and anomalous events during training. Spanning these categories, four flavors of models are presented: classification methods, hidden Markov models, contextual techniques, and sparsity models. As a recent promising approach in this domain, the sparsity model is presented in significant detail along with experimental results. The chapter ends with open problems and future research directions in the area.

  • Iterative Learning Control for Multi¿¿¿agent Coordination with Initial State Error

    PD¿¿¿type ILC is proposed for multi¿¿¿agent consensus tracking under the imperfect initial state condition. The learning rule is shown as convergent and achieves satisfactory performance.

  • Summary and Future Research Directions

    A timely guide using iterative learning control (ILC) as a solution for multi- agent systems (MAS) challenges, this book showcases recent advances and industrially relevant applications. Readers are first given a comprehensive overview of the intersection between ILC and MAS, then introduced to a range of topics that include both basic and advanced theoretical discussions, rigorous mathematics, engineering practice, and both linear and nonlinear systems. Through systematic discussion of network theory and intelligent control, the authors explore future research possibilities, develop new tools, and provide numerous applications such as power grids, communication and sensor networks, intelligent transportation systems, and formation control. Readers will gain a roadmap of the latest advances in the fields and can use their newfound knowledge to design their own algorithms. * Explores the synergy between the important topics of iterative learning control (ILC) and multi-age t systems (MAS) * Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks, and control processes * Covers basic theory and rigorous mathematics as well as engineering practice Written by experienced researchers, Iterative Learning Control for Multi-agent Systems Coordination will appeal to researchers and graduate students of multi-agent systems. Industrial practitioners whose work involves system engineering, system control, system biology, and computing science will also find it useful.



Standards related to Trajectory

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