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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Xplore Articles related to Trajectory

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Incremental kinesthetic teaching of end-effector and null-space motion primitives

[{u'author_order': 1, u'affiliation': u'Automatic Control Engineering, Technische Universität München, Munich, Germany', u'full_name': u'Matteo Saveriano'}, {u'author_order': 2, u'affiliation': u'Automatic Control Engineering, Technische Universität München, Munich, Germany', u'full_name': u'Sang-ik An'}, {u'author_order': 3, u'affiliation': u'Automatic Control Engineering, Technische Universität München, Munich, Germany', u'full_name': u'Dongheui Lee'}] 2015 IEEE International Conference on Robotics and Automation (ICRA), None

In this paper, we propose a unified approach to teach and iteratively refine both end-effector and null-space movements. Hence, the robot can be taught to make use of all its degrees-of-freedom (DoF) to adapt its behavior to new dynamic scenarios. In order to achieve this goal we propose an incremental learning approach in a framework of kinesthetic teaching based on ...


Task-dependent distribution and constrained optimization of via-points for smooth robot motions

[{u'author_order': 1, u'affiliation': u'Department of Mechanical Science and Engineering, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya-shi, 464-8603, Japan', u'full_name': u'ChangHyun Sung'}, {u'author_order': 2, u'affiliation': u'Honda Research Institute Europe GmbH, Carl-Legien-Strasse 30, 63073, Offenbach/Main, Germany', u'full_name': u'Manuel M\xfchlig'}, {u'author_order': 3, u'affiliation': u'Honda Research Institute Europe GmbH, Carl-Legien-Strasse 30, 63073, Offenbach/Main, Germany', u'full_name': u'Michael Gienger'}, {u'author_order': 4, u'affiliation': u'Department of Mechanical Science and Engineering, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya-shi, 464-8603, Japan', u'full_name': u'Yoji Uno'}] 2015 IEEE International Conference on Robotics and Automation (ICRA), None

This paper presents an effective method for planning and optimizing robot motions in joint space using via-points. The via-point formulation allows for a sparse movement representation which is inherently smooth according to a minimum jerk criterion. In this research we focus on two aspects. First, we present an initialization method to find a feasible number of via-points and their distribution ...


Preference-balancing motion planning under stochastic disturbances

[{u'author_order': 1, u'affiliation': u'Computer Science Department, University of New Mexico, USA', u'full_name': u'Aleksandra Faust'}, {u'author_order': 2, u'affiliation': u'Computer Science Department, University of New Mexico, USA', u'full_name': u'Nick Malone'}, {u'author_order': 3, u'affiliation': u'Computer Science Department, University of New Mexico, USA', u'full_name': u'Lydia Tapia'}] 2015 IEEE International Conference on Robotics and Automation (ICRA), None

Physical stochastic disturbances, such as wind, often affect the motion of robots that perform complex tasks in real-world conditions. These disturbances pose a control challenge because resulting drift induces uncertainty and changes in the robot's speed and direction. This paper presents an online control policy based on supervised machine learning, Least Squares Axial Sum Policy Approximation (LSAPA), that generates trajectories ...


Indirect optimal trajectory planning of robotic manipulators with the homotopy continuation technique

[{u'author_order': 1, u'affiliation': u'Mechanical Engineering Department, Amirkabir University of Technology, 424 Hafez Ave, Tehran, 15875-4413, Iran, Islamic Republic of Iran', u'full_name': u'M. Moradi'}, {u'author_order': 2, u'affiliation': u'Mechanical Engineering Department, Amirkabir University of Technology, 424 Hafez Ave, Tehran, 15875-4413, Iran, Islamic Republic of Iran', u'full_name': u'M. Naraghi'}, {u'author_order': 3, u'affiliation': u'Department of Mechanical Engineering, Semnan University, Semnan, Iran, Islamic Republic of Iran', u'full_name': u'A. Nikoobin'}] 2014 Second RSI/ISM International Conference on Robotics and Mechatronics (ICRoM), None

Indirect solution for the optimal trajectory planning of the robotic manipulators is studied from the practical point of view even for robots with a high degree of freedom. Derivation of the optimality conditions for these mechanical systems is symbolically cumbersome. It is convenient to release some unnecessary symbolical steps and to replace by some numerical shortcuts. On the other hand, ...


Image-based representation and modeling of spatiotemporal cell dynamics

[{u'author_order': 1, u'affiliation': u'Department of Biomedical Engineering, Carnegie Mellon University, USA', u'full_name': u'Ge Yang'}, {u'author_order': 2, u'affiliation': u'Cell Biology and Infection Department, Institut Pasteur, France', u'full_name': u'Jean-Christophe Olivo-Marin'}] 2013 IEEE 10th International Symposium on Biomedical Imaging, None

Successful completion of dynamic cellular processes ranging from intracellular transport to embryonic development depends critically on precise spatial and temporal coordination of the molecules and cells involved. Understanding spatiotemporal behaviors of these molecules and cells is therefore essential to understanding mechanisms of their associated cellular processes. Over the past two decades, a wide variety of image feature tracking techniques have ...


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Educational Resources on Trajectory

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eLearning

No eLearning Articles are currently tagged "Trajectory"

IEEE-USA E-Books

  • Random Walk Models

    **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.

  • 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.

  • Mars Science Laboratory

    This chapter is written from the perspective that the Mars Science Laboratory (MSL) spacecraft was launched in 2011; it cruised to Mars; it went through entry, descent, and landing (EDL) in 2012; and the MSL curiosity rover has since operated on the surface of Mars. MSL's initial telecom capability after launch employed a non‐directive low‐gain antenna (LGA) and depended on the spacecraft orientation and the limited distance between Earth and the spacecraft. The chapter contains more detailed information regarding the EDL communications geometry and the rationale behind the 135‐deg orbiter and the 75‐deg Earth angles from the antivelocity vector for relay and DTE coverage. The X‐band subsystem (with DSDST, RSDST, TWTA, and SSPA as the active elements) was primary for cruise through EDL and is also used for DFEs, DTEs, and beeps during surface communications. EDL was a critical and the most anticipated communications mission phase.

  • 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.

  • Energy Function Methods

    This chapter discusses in detail the transient energy function (TEF) method for angle stability. In the power literature, Lyapunov's method has become synonymous with the TEF method and has been applied successfully. Today, this technique has proved to be a practical tool in dynamic security assessment. The chapter discusses the potential energy boundary surface (PEBS) method because of its simplicity and its natural relationship to the equal¿¿¿area criterion. The chapter discusses the method through application to a single¿¿¿machine infinite¿¿¿bus system, the equivalence between the energy function and the equal¿¿¿area criterion, and explains the multimachine PEBS method. The energy function, Lyapunov function, and the PEBS are all equivalent in the case of a single¿¿¿machine infinite¿¿¿bus system. For the multimachine case, the chapter explains the PEBS and the boundary controlling u.e.p (BCU). Finally, the structure¿¿¿preserving energy function (SPEF) is derived. The SPEF is an active area of research.

  • Introduction

    The stability and performance of a flight vehicle can be analyzed from two distinct perspectives namely, static and dynamic. In aerospace vehicle development, one of the central features is the simulation model of the vehicle dynamics. The dynamic behavior of flight vehicles, such as launch vehicles, re-entry vehicles, and high performance aircraft, is generally studied in two distinct phases. The first phase deals with orbital mechanics and flight trajectory optimization assuming that the vehicle can be perfectly steered. The second study deals with variations of the vehicle from its flight trajectory and they have a relatively shorter period. The control system is typically designed based on linear state-space models that correspond to fixed flight conditions and the gains are interpolated in-between the design points. Launch vehicles are controlled by small deflections of the thrust-vectored- control (TVC) engines relative to their trim positions.

  • Vehicle Design Examples

    This chapter presents three conceptual vehicle design examples. The first example analyzes a re-entry glider returning from space where the various descent phases and design control laws are studied separately for each phase. A lifting-body aircraft is analyzed, where the aircraft is capable of returning from space by gliding and landing autonomously controlled by its aerosurfaces. The second example is a launch vehicle that is controlled by multiple types of engines and aerosurfaces. The vehicle takes off vertically like a typical launch vehicle, reaches high altitudes and returns to land like a glider without engine power. The third example is related to designing and analyzing the momentum management control system of a large space station controlled by an array of control moment gyros (CMGs). The examples are studied in detail, vehicle performance, stability, controllability, design control systems are analyzed, and simulations are created in MATLAB.

  • A HOIM¿¿¿Based Iterative Learning Control Scheme for Multi¿¿¿agent Formation

    By incorporating a high order internal model into the learning process, ILC is extended to solve an iteratively switching formation control problem.

  • 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



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No standards are currently tagged "Trajectory"