IEEE Organizations related to Infrared Sensors

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Conferences related to Infrared Sensors

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2021 IEEE International Conference on Mechatronics (ICM)

CM focuses on recent developments and future prospects related to the synergetic integration of mechanics, electronics, and information processing.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & 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


2020 IEEE 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


2020 IEEE International Conference on Industrial Technology (ICIT)

ICIT focuses on industrial and manufacturing applications of electronics, controls, communications, instrumentation, and computational intelligence.


2020 IEEE International Electron Devices Meeting (IEDM)

the IEEE/IEDM has been the world's main forum for reporting breakthroughs in technology, design, manufacturing, physics and the modeling of semiconductors and other electronic devices. Topics range from deep submicron CMOS transistors and memories to novel displays and imagers, from compound semiconductor materials to nanotechnology devices and architectures, from micromachined devices to smart -power technologies, etc.


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Periodicals related to Infrared Sensors

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Most published Xplore authors for Infrared Sensors

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Xplore Articles related to Infrared Sensors

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Navy Remote Ocean Sensing System (N-ROSS) ocean monitoring system

OCEANS '85 - Ocean Engineering and the Environment, 1985

None


How to design an 'invisible' aircraft

IEEE Spectrum, 1988

Techniques for reducing radar cross sections to make aircraft harder to detect are examined. Studies to determine what elements contribute to the radar signature are discussed. The use of models and chambers that simulate the impact of radar on a distant target to test the effectiveness of proposed techniques is considered. The need for outdoor testing is discussed.<>


Data fusion in multi sensor platforms for wide-area perception

2006 IEEE Intelligent Vehicles Symposium, 2006

There is a strong belief that the improvement of preventive safety applications and the extension of their operative range are achieved by the deployment of multiple sensors with wide fields of view (FOV). The paper contributes to the solution of the problem and introduces distributed sensor data fusion architectures and algorithms for an efficient deployment of multiple sensors that give ...


Evolution of meta-parameters in reinforcement learning algorithm

Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2003

A crucial issue in reinforcement learning applications is how to set meta- parameters, such as the learning rate and "temperature" for exploration, to match the demands of the task and the environment. In this paper, we propose a method to adjust meta-parameters of reinforcement learning by real-number genetic algorithm. It was shown in simulations of foraging tasks that appropriate settings ...


Reinforcement learning of path-finding behaviour by a mobile robot

1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96, 1996

We describe how a simple autonomous mobile robot can learn to navigate towards a goal while avoiding obstacles. A neural network determines the actions of the robot in response to the inputs from an array of infrared sensors. A reinforcement learning algorithm adjusts the weights of the neural network until the appropriate "action mapping" from sensor input to action output ...


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Educational Resources on Infrared Sensors

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IEEE-USA E-Books

  • Navy Remote Ocean Sensing System (N-ROSS) ocean monitoring system

    None

  • How to design an 'invisible' aircraft

    Techniques for reducing radar cross sections to make aircraft harder to detect are examined. Studies to determine what elements contribute to the radar signature are discussed. The use of models and chambers that simulate the impact of radar on a distant target to test the effectiveness of proposed techniques is considered. The need for outdoor testing is discussed.<>

  • Data fusion in multi sensor platforms for wide-area perception

    There is a strong belief that the improvement of preventive safety applications and the extension of their operative range are achieved by the deployment of multiple sensors with wide fields of view (FOV). The paper contributes to the solution of the problem and introduces distributed sensor data fusion architectures and algorithms for an efficient deployment of multiple sensors that give redundant or complementary information for the moving objects. The proposed fusion architecture is based on a modular approach allowing exchangeability and benchmarking using the output of individual trackers, whereas the fusion algorithm gives a solution to the track management problem and the coverage of wide perception areas. The test case is LATERAL SAFE sensor configuration, which monitors the rear and lateral areas of the vehicle. Results show that with the given approach the system is able to maintain the ID of all objects in transition (an object enters a sensor's FOV) and blind areas (no sensor coverage)

  • Evolution of meta-parameters in reinforcement learning algorithm

    A crucial issue in reinforcement learning applications is how to set meta- parameters, such as the learning rate and "temperature" for exploration, to match the demands of the task and the environment. In this paper, we propose a method to adjust meta-parameters of reinforcement learning by real-number genetic algorithm. It was shown in simulations of foraging tasks that appropriate settings of meta-parameters, which are strongly dependent on each other, can be found by evolution. Furthermore, we verified in hardware experiments using cyber rodent (CR) robots that the meta-parameters evolved in simulation are helpful for learning in real hardware.

  • Reinforcement learning of path-finding behaviour by a mobile robot

    We describe how a simple autonomous mobile robot can learn to navigate towards a goal while avoiding obstacles. A neural network determines the actions of the robot in response to the inputs from an array of infrared sensors. A reinforcement learning algorithm adjusts the weights of the neural network until the appropriate "action mapping" from sensor input to action output is found. Learning takes place in real time in the robot. The learning method is generic and therefore suitable for any robot with similar sensor and effectors.

  • HelpMate: A robotic courier for hospital use

    HelpMate has been designed to perform fetch and carry tasks while exhibiting humanlike behavior as it navigates down crowded hallways in the hospital. The tasks typically performed by the robot are carrying late meal trays, sterile supplies, medications, medical records, reports, samples, specimens, and mail. HelpMate is able to traverse the main arteries of hospitals, crossing between the buildings using interconnected corridors and elevators. Odometry-based navigation is enhanced by sonar, infrared, and vision sensors which aid in obstacle detection and avoidance maneuvers. A map of the hospital is made available to HelpMate, from which it is able to generate a path from any location in the hospital to any destination. An extremely simple human interface has been specially designed for this application. The onboard screen, emergency stops, warning lights, turn signals, and pause buttons provide easy and quick interaction with the system.<>

  • An improved algorithm of multiple robots cooperation in obstacle existing environment

    In the human-robot mixed and obstacle existing environment, several robots can cooperate to complete a single task or a group of tasks which have the close connections. This paper proposes an intelligent algorithm which is based on the statistics method and artificial neural networks for the multiple robots cooperation in this environment. This algorithm mainly involves the algorithm for cooperation in the layer of task and the motion track planning. Some simulation experiments have been carried to valid the algorithm and we got satisfying experimental results which demonstrate the effectiveness and advantage.

  • MFR-IRST integration in the naval environment

    A low elevation threat can potentially exploit degradations in radar performance on naval platforms caused by multipath effects and sea clutter. Particularly in littoral environments and when electronic countermeasures are deployed, the use of radar with dissimilar (passive) sensors promises significant improvements in target detection and tracking capability. This paper provides an insight into a research project that has investigated the interactive integration of the Multifunction Electronically Scanned Adaptive Radar (MESAR2) and infrared search-and-track (IRST) sensor, based on the Air Defence Alerting Device, in a technology demonstrator trials programme. The sensor integration was achieved using the sensor fusion and tracking system known as TOTS (Target Oriented Tracking System).

  • Dual baseline triangulation

    A new method for passive ranging based on the principle of triangulation is considered. The proposed orthogonal dual baseline scheme eliminates the well known "geometric dilution" effect, inherent in single baseline methods. The performance of each of the two orthogonal baselines depends on target orientation. A general expression for the maximum triangulation range consistent with limitations in minimum tolerance precision in range estimation is derived. Limitations in the dual baseline model due to physical limitations created by the geometrically assessed optical horizon are also considered.<>

  • A New Method for People-Counting Based on Support Vector Machine

    This paper proposed a new method for infrared people-counting. According to the characteristics of the time continuous data collected by infrared sensors, the pattern recognition idea is introduced in the data processing procedure. After the special pretreatment, adaptive segmentation and feature extraction for the people-counting data, the feature vector is used as the inputs of the trained support vector machine classifier to classify and statistic the total number of the people who go through the infrared sensor area in a period of time. Compared with traditional people-counting using sensor, this method is more accurate and it can count the people number at the situation that several people go through the infrared sensor at the same time. Finally, the experiments indicate that the method can be applied in actual application.



Standards related to Infrared Sensors

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Jobs related to Infrared Sensors

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