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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2017 IEEE Power & Energy Society General Meeting

The annual IEEE Power & Energy Society General Meeting will bring together over 2000 attendees for technical sessions, student program, awards ceremony, committee meetings, and tutorials.

  • 2015 IEEE Power & Energy Society General Meeting

    The annual IEEE PES General Meeting will bring together over 2500 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutotials and more

  • 2014 IEEE Power & Energy Society General Meeting

    The annual IEEE PES General Meeting will bring together over 2500 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutotials and more

  • 2013 IEEE Power & Energy Society General Meeting

    The annual IEEE Power & Energy Society General Meeting will bring together over 2000 attendees for technical sessions, student program, awards ceremony, committee meetings, and tutorials.

  • 2012 IEEE Power & Energy Society General Meeting

    The annual IEEE Power & Energy Society General Meeting will bring together over 2000 attendees for technical sessions, student program, awards ceremony, committee meetings, and tutorials.

  • 2011 IEEE Power & Energy Society General Meeting

    IEEE Power & Energy Annual Meeting --Papers --Awards --Plenary --Committee Meetings --Governing Board --Receptions --Tech tours --Tutorials --Companions Program

  • 2010 IEEE Power & Energy Society General Meeting

    IEEE Power & Energy Society Annual Meeting --Technical Sessions --Committee Meetings --Plenary Session --Gove Board Meeting --Awards Banquet --Tutorials --Student Activities --Social Events --Companions Program

  • 2009 IEEE Power & Energy Society General Meeting

    Paper and Panel sessions involving topics of interest to electric power engineers, technical committee meetings, administrative committee meetings, awards luncheon and plenary session.

  • 2008 IEEE Power & Energy Society General Meeting

    This meeting has paper and panel sessions on all areas of interest to electric power engineers.

  • 2007 IEEE Power Engineering Society General Meeting


2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC)

DASC is the premier annual conference providing authors an opportunity for publication and presentation to an international audience of papers encompassing the field of avionics systems for aircraft/rotorcraft/unmanned aircraft (commercial, military, general aviation) launch vehicles, missiles, spacecraft, and space transportation systems, navigation, guidance/control of flight, computers, communications, sensors (radar, infrared, visual bands), avionics architectures and data networking, communications networks, software, crew interface, space and ground components needed for the operation of military, commercial, and business aircraft, and avionics electrical power generation and control, Student papers are entered into a judged competition.

  • 2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC)

    Digital avionics systems for aircraft/rotorcraft/unmanned aircraft (commercial, military, general aviation); communications, command and control; air traffic management; space systems (launch vehicles, spacecraft, and satellites); history of avionics systems and their contributions to exploring the earth and space; economic impact of avionics systems

  • 2011 IEEE/AIAA 30th Digital Avionics Systems Conference (DASC)

    Digital avionics systems for aircraft/rotorcraft/unmanned aircraft (commercial, military, general aviation);communications, command and control; air traffic management; space systems (launch vehicles, spacecraft, satellites);human systems interface; avionics software; avionics design tools

  • 2010 IEEE/AIAA 29th Digital Avionics Systems Conference (DASC)

    Digital Avionics Systems design, integration, operation, and support; air traffic management; space systems; integrated communication, navigation, and surveillance; systems engineering; unmanned aeronautical systems

  • 2009 IEEE/AIAA 28th Digital Avionics Systems Conference (DASC)

    The 28th DASC focuses on Digital Avionics. Technical Papers and tutorials are also provided on ATM/CNS, NextGen, flight critical systems, aviation security, synthetic vision, aerospace avionics, and systems engineering.

  • 2008 IEEE/AIAA 27th Digital Avionics Systems Conference (DASC)

    The theme of the 27th DASC is Integrated Modular Avionics. Technical Papers and tutorials are also provided on ATM/CNS, NextGen, flight critical systems, aviation security, synthetic vision, aerospace avionics, and systems engineering.

  • 2007 IEEE/AIAA 26th Digital Avionics Systems Conference (DASC)

    The purpose of the Conference is to provide a forum for the exchange of new knowledge in digital avionics among professionals and students in the fields of commerical, military, and general aviation and space applications. The Conference serves the needs and professional interests of AIAA/IEEE members and promotes, in a public environment, their contributions and achievements in the arts, sciences and technology of aeronautics and astronautics.


2013 Integrated Communications, Navigation and Surveillance Conference (ICNS)

New reserach, development and implementation programs and policies related to ICNS -data link communications, ADS-B, SWIM, airport surface communications, spectrum constraints, transition to digital communications, surveillance systems integration, satellite-based navigation, integration, avionics equipage, secure airborne networking, unmanned aircraft integration into the airspace, NextGen, SESAR, and new commercial aircraft integration and operation, airspace management, weather

  • 2012 Integrated Communications, Navigation and Surveillance Conference (ICNS)

    New research, development and implementation programs and policies related to ICNS-data link communications, ADS-B, SWIM, airport surface communications, spectrum constraints, transition to digital communications, surveillance systems integration, satellite-based navigation integration, avionics equipage, secure airborne networking, unmanned aircraft integration into the airspace, NextGen, SESAR, and the new commercial aircraft integration and operation.

  • 2011 Integrated Communications, Navigation and Surveillance Conference (ICNS)

    The 2011 ICNS Conference addresses research needs, policy, and development for early implementation of integrated CNS technologies needed to enable NextGen. ICNS focuses on understanding CNS programs, longer term plans, standards, technology, and validation for early implementation of NextGen.

  • 2010 Integrated Communications, Navigation and Surveillance Conference (ICNS)

    The ICNS Conference addresses research and development of integrated communication, navigation, and surveillance technologies for advanced digital information systems and applications supporting the future global air transporation system. Focus is understanding of CNS Programs, plans,research and technology for the 2012-2020 time frame and beyond 2025.

  • 2009 Integrated Communications, Navigation and Surveillance Conference (ICNS)

    Close integration of on-board and ground flight management functions is the key to implementing the NextGen flight operations that will create the benefits of fewer delays, increased route efficiency, lower fuel consumption, further reduction of environmental impact, and lower per-flight system operations costs. The conference program provides up-to-date status of NextGen activities and discussion of the state of the art in technical development


2012 10th World Congress on Intelligent Control and Automation (WCICA 2012)

A. Intelligent Control B. Control Theory and Control Engineering C. Complex Systems and Intelligent Robots D. Others


2012 International Conference on Information and Automation (ICIA)

Information, automation, and related areas.


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Periodicals related to Trajectory

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Most published Xplore authors for Trajectory

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Xplore Articles related to Trajectory

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LOST: Longterm Observation of Scenes (with Tracks)

Austin Abrams; Jim Tucek; Joshua Little; Nathan Jacobs; Robert Pless 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

We introduce the Longterm Observation of Scenes (with Tracks) dataset. This dataset comprises videos taken from streaming outdoor webcams, capturing the same half hour, each day, for over a year. LOST contains rich metadata, including geolocation, day-by-day weather annotation, object detections, and tracking results. We believe that sharing this dataset opens opportunities for computer vision research involving very long-term outdoor ...


Hybrid Brain Computer Interface via Bayesian integration of EEG and eye gaze

Xujiong Dong; Haofei Wang; Zhaokang Chen; Bertram E. Shi 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 2015

We describe a hybrid brain computer interface that integrates information from a four-class motor imagery based EEG classifier with information about gaze trajectories from an eye tracker. The novel aspect of this system is that no explicit gaze behavior is required of the user. Rather, the natural gaze behavior of the user integrated probabilistically to smooth the noisy classification results ...


PTZ camera network calibration from moving people in sports broadcasts

Jens Puwein; Remo Ziegler; Luca Ballan; Marc Pollefeys 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

In sports broadcasts, networks consisting of pan-tilt-zoom (PTZ) cameras usually exhibit very wide baselines, making standard matching techniques for camera calibration very hard to apply. If, additionally, there is a lack of texture, finding corresponding image regions becomes almost impossible. However, such networks are often set up to observe dynamic scenes on a ground plane. Corresponding image trajectories produced by ...


Dynamic control of a production model [speech]

L. Candille; H. Meloni Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on, 1996

A number of experiments have shown that it is possible to use production models for speech recognition tasks. We present the results of an adaptation of S. Maeda's (1979) statistical model. We have also demonstrated the importance of taking into account the static and dynamic characteristics of the speaker. Some preliminary results for the identification of V1-V2 (i.e. vowel diphone) ...


UAV energy extraction with incomplete atmospheric data using MPC

Yuyi Liu; Jos Van Schijndel; Stefano Longo; Eric C. Kerrigan IEEE Transactions on Aerospace and Electronic Systems, 2015

A nonlinear model predictive control strategy is presented for unmanned aerial vehicle (UAV) trajectory determination. The objective is to find optimal paths in the atmosphere by maximizing the UAV's energy (kinetic and potential) over a finite but receding horizon. The main assumption is that the updraft distribution is unknown, creating a realistic situation. The updrafts are only estimated online using ...


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Educational Resources on Trajectory

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eLearning

LOST: Longterm Observation of Scenes (with Tracks)

Austin Abrams; Jim Tucek; Joshua Little; Nathan Jacobs; Robert Pless 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

We introduce the Longterm Observation of Scenes (with Tracks) dataset. This dataset comprises videos taken from streaming outdoor webcams, capturing the same half hour, each day, for over a year. LOST contains rich metadata, including geolocation, day-by-day weather annotation, object detections, and tracking results. We believe that sharing this dataset opens opportunities for computer vision research involving very long-term outdoor ...


Hybrid Brain Computer Interface via Bayesian integration of EEG and eye gaze

Xujiong Dong; Haofei Wang; Zhaokang Chen; Bertram E. Shi 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 2015

We describe a hybrid brain computer interface that integrates information from a four-class motor imagery based EEG classifier with information about gaze trajectories from an eye tracker. The novel aspect of this system is that no explicit gaze behavior is required of the user. Rather, the natural gaze behavior of the user integrated probabilistically to smooth the noisy classification results ...


PTZ camera network calibration from moving people in sports broadcasts

Jens Puwein; Remo Ziegler; Luca Ballan; Marc Pollefeys 2012 IEEE Workshop on the Applications of Computer Vision (WACV), 2012

In sports broadcasts, networks consisting of pan-tilt-zoom (PTZ) cameras usually exhibit very wide baselines, making standard matching techniques for camera calibration very hard to apply. If, additionally, there is a lack of texture, finding corresponding image regions becomes almost impossible. However, such networks are often set up to observe dynamic scenes on a ground plane. Corresponding image trajectories produced by ...


Dynamic control of a production model [speech]

L. Candille; H. Meloni Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on, 1996

A number of experiments have shown that it is possible to use production models for speech recognition tasks. We present the results of an adaptation of S. Maeda's (1979) statistical model. We have also demonstrated the importance of taking into account the static and dynamic characteristics of the speaker. Some preliminary results for the identification of V1-V2 (i.e. vowel diphone) ...


UAV energy extraction with incomplete atmospheric data using MPC

Yuyi Liu; Jos Van Schijndel; Stefano Longo; Eric C. Kerrigan IEEE Transactions on Aerospace and Electronic Systems, 2015

A nonlinear model predictive control strategy is presented for unmanned aerial vehicle (UAV) trajectory determination. The objective is to find optimal paths in the atmosphere by maximizing the UAV's energy (kinetic and potential) over a finite but receding horizon. The main assumption is that the updraft distribution is unknown, creating a realistic situation. The updrafts are only estimated online using ...


More eLearning Resources

IEEE-USA E-Books

  • Performance Bounds for Target Tracking: Computationally Efficient Formulations and Associated Applications

    This chapter presents a review of recent developments in the calculation of mean square error (MSE) tracker performance bounds, together with examples that demonstrate how such bounds can be used as the basis for performing online sensor management. It defines the basic filtering problem, and provides details of a general class of lower bounds that includes as special cases the posterior Cramer¿¿?Rao lower bound (PCRLB), Bhattacharya lower bound (BLB), Weiss¿¿?Weinstein lower bound (WWLB), and Bobrovsky¿¿?Zakai lower bound (BZLB). The chapter reviews developments in the calculation of computationally efficient expressions for the PCRLB in cluttered environments. The chapter considers the first of two sensor management applications, providing a framework for the deployment of stationary sensors in tracking manoeuvring targets. It considers the problem of UAV trajectory planning in tracking a highly manoeuvring airborne target, and demonstrates that the PCRLB can be effectively utilized as a measure of system performance.

  • Schemas for Prey-Catching in Frog and Toad

    This paper first outlines the methodology of schema theory (Arbib 1981), which integrates perception and action by decomposing an overall behavior into the interaction of functional, neurally explicable, units called schemas. It offers comparisons with other methodologies from Artificial Intelligence (AI) and Brain Theory (BT), and reviews the RS (Robot Schema) language and the Arbib and House (1987) model of detour behavior in Rana computatrix which associates potential fields with objects -- an attractant for the prey; arepulsor for the fencepost; and a forward field for the toad itself which are then combined to create more complex fields which determine the trajectory of the animal. However, rather than analyze detour behavior here, the remainder of the paper presents a schema-theoretic model for the decision-making mechanisms which control preY: catching behavior in frog and toad; the extension of the work to model predator-avoidance is discussed elsewhere. It thus contributes to Rana computatrix, an evolving set of models of anuran visuomotor coordination (e.g., Arbib 1987). Our new model of prey-catching is rooted in recent experimental data on the behavior of animals with and without brain lesions. These data motivate the model's use of independent processing of the different parameters that define the stimulus position (horizontal eccentricity, elevation and distance). The model, which emphasizes action generated by the concurrent activity of multiple motor schemas rather than the serial activity of such schemas, predict new behaviors for experimental test.

  • Posterior CramerRao Bounds for MultiTarget Tracking

    This study is concerned with multi-target tracking (MTT). The Cramér-Rao lower bound (CRB) is the basic tool for investigating estimation performance. Though basically defined for estimation of deterministic parameters, it has been extended to stochastic ones in a Bayesian setting. In the target tracking area, we have thus to deal with the estimation of the whole trajectory, itself described by a Markovian model. This leads up to the recursive formulation of the posterior CRB (PCRB). The aim of the work presented here is to extend this calculation of the PCRB to MTT under various assumptions.

  • Magnetic Core Loss

    This chapter focuses on calculating the losses within a magnetic material. These losses arise from several causes. Eddy currents induced by the time rate of change of flux in the material are one source of loss. A second source of loss is magnetic hysteresis, which is associated with the non-uniquely valued relationship between flux density and field intensity. The chapter considers a variety of empirical or behavioral approaches to modeling core loss. These are based on representing observed behavior in a mathematical form using curve fitting. The chapter also considers some other approaches to the modeling of hysteresis behavior. These include Jiles-Atherton model and the Preisach model. These are time domain models that predict the specific B-H trajectory. They offer significantly more information than the empirical models.

  • Better To Fail Hopefully…

    Silicon Valley, a small place with few identifiable geologic or geographic features, has achieved a mythical reputation in a very short time. The modern material culture of the Valley may be driven by technology, but it also encompasses architecture, transportation, food, clothing, entertainment, intercultural exchanges, and rituals.Combining a reporter's instinct for a good interview with traditional archaeological training, Christine Finn brings the perspectives of the past and the future to the story of Silicon Valley's present material culture. She traveled the area in 2000, a period when people's fortunes could change overnight. She describes a computer's rapid trajectory from useful tool to machine to be junked to collector's item. She explores the sense that whatever one has is instantly superseded by the next new thing -- and the effect this has on economic and social values. She tells stories from a place where fruit-pickers now recycle silicon chips and where more money can be made babysitting for post-IPO couples than working in a factory. The ways that people are working and adapting, are becoming wealthy or barely getting by, are visible in the cultural landscape of the fifteen cities that make up the area called "Silicon Valley."

  • Closing Remarks and Future Directions

    The focal points of the book lay in the design and development of two novel models for unsupervised learning or data clustering, based on dynamic Self- Organization: namely, the self-organizing tree map (SOTM) and The Self- Organizing Hierarchical Variance Map (SOHVM). This chapter summarizes the main properties and recommendations in the use of such models, and discusses some potential directions for future research and application. The real advantage of creating a self-organized clustering as opposed to most other clustering methods, lies in the availability of the resulting topological map. Mining the topology, as opposed to assuming one through imposing predetermined lattice, can be leveraged for very specific tasks. The chapter focuses on three major categories of task: namely, dynamic navigation through information repositories; knowledge-assisted visualization; and path-based trajectory analysis. In each category, there is a common Theme-where there is topology, there is context, and context can assist in conveying or extracting knowledge.

  • Real-Time Vision System

    This chapter contains sections titled: Current Vision Techniques, Basic Approach to the Vision System, Moment Generator, Stereo and Calibration Techniques, Imaging Dynamic Scene, Three-Dimensional Trajectory Analysis, Vision System Accuracy, Summary

  • Social Strife

    Silicon Valley, a small place with few identifiable geologic or geographic features, has achieved a mythical reputation in a very short time. The modern material culture of the Valley may be driven by technology, but it also encompasses architecture, transportation, food, clothing, entertainment, intercultural exchanges, and rituals.Combining a reporter's instinct for a good interview with traditional archaeological training, Christine Finn brings the perspectives of the past and the future to the story of Silicon Valley's present material culture. She traveled the area in 2000, a period when people's fortunes could change overnight. She describes a computer's rapid trajectory from useful tool to machine to be junked to collector's item. She explores the sense that whatever one has is instantly superseded by the next new thing -- and the effect this has on economic and social values. She tells stories from a place where fruit-pickers now recycle silicon chips and where more money can be made babysitting for post-IPO couples than working in a factory. The ways that people are working and adapting, are becoming wealthy or barely getting by, are visible in the cultural landscape of the fifteen cities that make up the area called "Silicon Valley."

  • Robust Image Processing and PositionBased Visual Servoing

    This chapter presents image processing techniques and issues that are related to _position-based_ robot visual servo control. It examines the trade-offs between the requirements of speed, accuracy and robustness. To achieve the appropriate balance of these requirements, directed image processing is implemented which uses windowing techniques, prediction techniques, and a priori information regarding the features of the target object. Details of the binary image processing used to measure hole and corner feature locations on the image plane are presented. Kalman filtering is used to estimate the relative pose of the target object with respect to the camera, and this information in conjunction with the object description, is used to predict the window size and location for each feature on the next sample. In addition, feature planning techniques are used to provide a database which forms the basis for real-time feature switching along the relative motion trajectory to maintain a suitable set of visible features for visual servoing. Finally, sensor fusion techniques, based on the Kalman filter, are presented to show how measurements from multiple cameras, or a camera and range sensor can be properly integrated to improve the robustness and accuracy of the pose estimation, based on the image processing results.

  • Intent Inference and Detection of Anomalous Trajectories: A Metalevel Tracking Approach

    Classical target tracking assumes a state¿¿?space model with target maneuvers modeled as a finite state Markov chain. This chapter motivates by metalevel target tracking applications on longer time scales. It develops metalevel tracking algorithms that assist human operators by extracting spatial patterns from target tracks to identify suspicious/anomalous spatial trajectories. The targets' spatial trajectories are modeled by two types of random processes: stochastic context¿¿?free grammars (SCFGs); and reciprocal random processes. The chapter presents Bayesian filtering and smoothing algorithms for these processes to estimate the trajectories and hence intent of the targets. It describes a system¿¿?level description of the anomalous trajectory classification problem, discusses the radar tracking framework and provides a mathematical description of trajectory classification. The chapter presents SCFG models and associated signal processing algorithms for trajectory modeling and classification. It considers reciprocal processes for modeling target intent. The parsing of the motion trajectories is implemented with Earley¿¿?Stolcke parsing algorithm.



Standards related to Trajectory

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No standards are currently tagged "Trajectory"