Conferences related to Inertial navigation

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2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

The scope of the 2020 IEEE/ASME AIM includes the following topics: Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine Interfaces, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro-Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting and other frontier fields.


2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)

Inertial Sensing and Technology; GNSS; Connected, Integrated, Alternative Sensing; Application to Automated, Semi-Autonomous and Fully Autonomous Systems


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Periodicals related to Inertial navigation

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


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 ...


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Industrial Electronics, IEEE Transactions on

Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.


Instrumentation & Measurement Magazine, IEEE

Applications-oriented material in the field of instrumentation and measurement.


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Most published Xplore authors for Inertial navigation

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Xplore Articles related to Inertial navigation

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Correction to "Gradient-Based Manipulation of Nonparametric Entropy Estimates'' [Jul 04 828-837]

IEEE Transactions on Neural Networks, 2007

In the above titled paper (ibid., vol. 15, no. 4, pp. 828-837, Jul 04), the M-step (22) was incorrect. The corrected M-step is presented here.


Integration of vision and inertial navigation system for landing of an unmanned aerial vehicle

2007 IEEE/AIAA 26th Digital Avionics Systems Conference, 2007

None


IEE Colloquium on 'Inertial Navigation Sensor Development' (Digest No.5)

IEE Colloquium on Inertial Navigation Sensor Development, 1990

None


IEE Colloquium on 'Current and Future Trends in Flight Calibration of Radio Navigational Aids' (Digest No.079)

IEE Colloquium on Current and Future Trends in Flight Calibration of Radio Navigational Aids, 1991

None


Research on Error Compensation Property of Strapdown Inertial Navigation System Using Dynamic Model of Shearer

IEEE Access, 2016

The strapdown inertial navigation system (SINS) can be installed on a shearer and used for monitoring its position. However, under the complex environment of the mechanized mining face, the strong vibration of the shearer may cause large calculation error. First, the dynamic model of a double-drum shearer is built with a force analysis, and the spectrum characteristics of linear vibration ...


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Educational Resources on Inertial navigation

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IEEE-USA E-Books

  • Correction to "Gradient-Based Manipulation of Nonparametric Entropy Estimates'' [Jul 04 828-837]

    In the above titled paper (ibid., vol. 15, no. 4, pp. 828-837, Jul 04), the M-step (22) was incorrect. The corrected M-step is presented here.

  • Integration of vision and inertial navigation system for landing of an unmanned aerial vehicle

    None

  • IEE Colloquium on 'Inertial Navigation Sensor Development' (Digest No.5)

    None

  • IEE Colloquium on 'Current and Future Trends in Flight Calibration of Radio Navigational Aids' (Digest No.079)

    None

  • Research on Error Compensation Property of Strapdown Inertial Navigation System Using Dynamic Model of Shearer

    The strapdown inertial navigation system (SINS) can be installed on a shearer and used for monitoring its position. However, under the complex environment of the mechanized mining face, the strong vibration of the shearer may cause large calculation error. First, the dynamic model of a double-drum shearer is built with a force analysis, and the spectrum characteristics of linear vibration and angular vibration for the fuselage are then obtained. Second, the coning error and sculling error compensation models of SINS for the shearer are derived based on vibration characteristics. Meanwhile, according to the factor of the uncompensated model, multi-sample compensation model, and different coal and rock traits and different vibration frequencies of the fuselage, the shearer SINS error compensation property under multiple parameters is researched and analyzed in simulation. Finally, simulations indicate that the SINS error compensation model with the three-sample algorithm and four-sample algorithm can improve the calculating accuracy of the shearer SINS. The coning and sculling errors can be compensated effectively by the shearer error compensation model under many vibration conditions, such as different coal and rock traits and different frequencies of the fuselage.

  • Initial alignment consideration for underwater robot's strapdown inertial navigation system

    This paper considers the initial alignment problem for underwater robot's strapdown inertial navigation system. In general, initial alignment can be roughly divided into three types; coarse alignment, gyro compassing, and aided alignment. For underwater robot, gyro compassing is not suitable for its initialization, since it is difficult to accurately rotate the robot platform in the water. In this paper, we evaluate and compare the other two methods - coarse alignment and aided method, and investigate which one is more suitable in practice for a given IMU device.

  • Evaluation of Accelerometers as Inertial Navigation System for Mobile Robots

    This article describes the tests and results of the evaluation of an inertial navigation system for a mobile robot, as a mechanism for supplying additional information to the self-localization process. The mobile robot under study has differential steering, a built-in odometric system based on optical encoders for each wheel, and an on-board processor that calculates the position relative to any start point. The inertial system consists of an X-Y dual axis accelerometer, to calculate the position through double integration. The errors of the models are examined and included into the sensors and mobile robot models to validate the estimated position. Many movement conditions like straight and circular paths, including collisions, are identified with both odometric and inertial systems to obtain a more accurate value of the relative position. Results are presented for these conditions, showing that information given by a low cost navigation system based on encoders and accelerometers, with the proper signal processing, can reduce long-term errors and drifts

  • Multisensor fusion using Hopfield neural network in INS/SMGS integrated system

    This paper presents a novel multisensor fusion method using a Hopfield neural network in the INS/SMGS (inertial navigation system/scene matching guidance system) integrated systems. The state estimation of INS/SMGS systems has multirate and unequal interval characteristics due to the stochastic results of SMGS, so the classical state estimator such as Kalman filter is not competent. The method presented in this paper obtains the optimal fusion state estimation by minimizing the energy function of the Hopfield neural network, and this method is named the hop-filter. Simulation results show that the hop- filter performs much better than the Kalman filter in many factors such as fast convergence, unbias and high precision. Also as the parallel computational mode is easily carried out in hardware of the Hopfield neural network, this fusion method can improve the navigation/guidance accuracy, real time ability and practicability of the INS/SMGS.

  • Inertially Aided Navigation of Undersea Vehicles

    As the tasks to be performed by underwater vehicles become more sophisticated, the navigational requirements and positional-accuracy constraints become more rigorous. A number of proposed missions for manned and autonomous vehicles require that the position be accurately known at all times, independent of external navigational input data. A typical cruise duration might extend from several hours to several hundreds of hours. Inertial navigation systems have been proposed to assist in the solution to such underwater navigational problems. This paper will review the current state of development of inertial navigation systems (INSs) with respect to accuracy, power requirements, operational constraints, size and cost. Systems may be grouped into operation- specific categories as a result of these limitations. Recent technological developments, including ring-laser and fiberoptic gyros, will be briefly discussed along with their future applicability to undersea navigati on requirements.

  • The Research of Integrated Navigation Applied to Synthetic Aperture Sonar Underwater

    Motion compensation of synthetic aperture sonar (SAS) needs resort to the integrated navigation which can give the position, velocity and attitude of SAS. This paper discussed the inertial navigation system composed of SINS, the Doppler velocity log (DVL) and the high precise quartz depth gauge which acts as auxiliary sensor in vertical. A kind of Kalman filter algorithm for fast tracking is presented in detail. Simulation has been done with the integrated navigation error models of the complex motion of SAS. The simulation indicates that the navigation system is effective and the accuracy of the filter is satisfying. The algorithm can be used in motion estimation of SAS underwater.



Standards related to Inertial navigation

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IEEE Standard for Inertial Sensor Terminology

To review all of the definitions included in the standard and to revise them as required. New terminology will be added to bring the document up to date with current technology.


IEEE Standard for Inertial Systems Terminology

This standard provides a source of definitions of terminology used in the development, manufacture, and test of aided and unaided inertial systems used for navigation, guidance, orientation, stabilization, and related applications. This is a companion document to IEEE Std 528ル.



Jobs related to Inertial navigation

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