Conferences related to Sonar detection

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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 Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


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/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.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


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Periodicals related to Sonar detection

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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.


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.


Information Theory, IEEE Transactions on

The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.


Intelligent Transportation Systems, IEEE Transactions on

The theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS). Intelligent Transportation Systems are defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds. The scope of this interdisciplinary activity includes the promotion, consolidation and coordination of ITS technical ...


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Most published Xplore authors for Sonar detection

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Xplore Articles related to Sonar detection

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An electric field aid to underwater navigation

1970 IEEE International Conference on Engineering in the Ocean Environment - Digest of Technical Papers, 1970

The electric field apparatus described is an economical and convenient aid to restricted area undersea navigation. The asymmetry of an electric dipole is a weighted and comparative indication of the effective clearance of large obstacles.


Fast Target Detection in Synthetic Aperture Sonar Imagery: A New Algorithm and Large-Scale Performance Analysis

IEEE Journal of Oceanic Engineering, 2015

In this paper, a new unsupervised algorithm for the detection of underwater targets in synthetic aperture sonar (SAS) imagery is proposed. The method capitalizes on the high-quality SAS imagery whose high resolution permits many pixels on target. One particularly novel component of the method also detects sand ripples and estimates their orientation. The overall algorithm is made fast by employing ...


Curvelet decomposition for detection of cylindrical targets

2008 15th IEEE International Conference on Image Processing, 2008

Curvelets are a multiscale system with very high directional sensitivity. A new detection algorithm is herein described which operates on a curvelet decomposition of acoustic imagery. The algorithm detects the presence of cylindrical targets through a statistical mapping of curvelet coefficients. The coefficients are calculated as an inner product between image features and a curvelet basis element. The similarity in ...


Deep ocean science

Proceedings of the 1983 3rd International Symposium on Unmanned Untethered Submersible Technology, 1983

None


A Pre-Whiten Method for Active Sonar in Reverberation Background

2009 First International Conference on Information Science and Engineering, 2009

Matched filter, the optimal receiver in white noise, is not always optimum in reverberation background. A pre-whiten filter to restrain the reverberation is proposed. On the premise of Gaussian color noise model of reverberation with local stationarity, a method using all-pole partition pre-whiten filters is proposed based on autoregressive(AR) model, which is adaptive. Priori knowledge of the noise and reverberation ...


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Educational Resources on Sonar detection

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IEEE.tv Videos

Contactless Wireless Sensing - Shyam Gollakota - IEEE EMBS at NIH, 2019
2015 IEEE Honors: IEEE Jack S. Kilby Signal Processing Medal - Harry L. Van Trees
An FPGA-Quantum Annealer Hybrid System for Wide-Band RF Detection - IEEE Rebooting Computing 2017
Multi-Function VCO Chip for Materials Sensing and More - Jens Reinstaedt - RFIC Showcase 2018
Louis Scharf receives the IEEE Jack S. Kilby Signal Processing Medal - Honors Ceremony 2016
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
Implantable, Insertable and Wearable Micro-optical Devices for Early Detection of Cancer - Plenary Speaker, Christopher Contag - IPC 2018
Critical use cases for video capturing systems in autonomous driving applications
Multiple Sensor Fault Detection and Isolation in Complex Distributed Dynamical Systems
Developing Automated Analysis Tools for Space/Time Sidechannel Detection - IEEE SecDev 2016
IEEE Medal for Environmental and Safety Technologies - Jerome Faist and Frank K. Tittell - 2018 IEEE Honors Ceremony
An IEEE IPC Special Session with X. Chen from Nokia Bell Labs
Noise Enhanced Information Systems: Denoising Noisy Signals with Noise
Hardware Detection in Implantable Media Devices Using Adiabatic Computing - S. Dinesh Kumar - ICRC 2018
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
Low Power Image Recognition: The Challenge Continues
A Recurrent Crossbar of Memristive Nanodevices Implements Online Novelty Detection - Christopher Bennett: 2016 International Conference on Rebooting Computing
Welcome to ICRA 2015: Robot Challenges
IEEE Highlight: Electronic Nose: Diagnosing Cancer Through Smell
Silicon THz: an Opportunity for Innovation

IEEE-USA E-Books

  • An electric field aid to underwater navigation

    The electric field apparatus described is an economical and convenient aid to restricted area undersea navigation. The asymmetry of an electric dipole is a weighted and comparative indication of the effective clearance of large obstacles.

  • Fast Target Detection in Synthetic Aperture Sonar Imagery: A New Algorithm and Large-Scale Performance Analysis

    In this paper, a new unsupervised algorithm for the detection of underwater targets in synthetic aperture sonar (SAS) imagery is proposed. The method capitalizes on the high-quality SAS imagery whose high resolution permits many pixels on target. One particularly novel component of the method also detects sand ripples and estimates their orientation. The overall algorithm is made fast by employing a cascaded architecture and by exploiting integral-image representations. As a result, the approach makes near-real-time detection of proud targets in sonar data onboard an autonomous underwater vehicle (AUV) feasible. No training data are required because the proposed method is adaptively tailored to the environmental characteristics of the sensed data that are collected in situ. To validate and assess the performance of the proposed detection algorithm, a large-scale study of SAS images containing various mine-like targets is undertaken. The data were collected with the MUSCLE AUV during six large sea experiments, conducted between 2008 and 2012, in different geographical locations with diverse environmental conditions. The analysis examines detection performance as a function of target type, aspect, range, image quality, seabed environment, and geographical site. To our knowledge, this study-based on nearly 30 000 SAS images collectively covering approximately 160 km <sup>2</sup> of seabed, and involving over 1100 target detection opportunities-represents the most extensive such systematic, quantitative assessment of target detection performance with SAS data to date. The analysis reveals the variables that have the largest impact on target detection performance, namely, image quality and environmental conditions on the seafloor. Ways to exploit the results for adaptive AUV surveys using through-the-sensor data are also suggested.

  • Curvelet decomposition for detection of cylindrical targets

    Curvelets are a multiscale system with very high directional sensitivity. A new detection algorithm is herein described which operates on a curvelet decomposition of acoustic imagery. The algorithm detects the presence of cylindrical targets through a statistical mapping of curvelet coefficients. The coefficients are calculated as an inner product between image features and a curvelet basis element. The similarity in appearance between cylindrical targets and curvelet basis elements yield an accurate detection algorithm with a very low false alarm rate.

  • Deep ocean science

    None

  • A Pre-Whiten Method for Active Sonar in Reverberation Background

    Matched filter, the optimal receiver in white noise, is not always optimum in reverberation background. A pre-whiten filter to restrain the reverberation is proposed. On the premise of Gaussian color noise model of reverberation with local stationarity, a method using all-pole partition pre-whiten filters is proposed based on autoregressive(AR) model, which is adaptive. Priori knowledge of the noise and reverberation are not required. An algorithm called reverse partition pre-whiten is also brought forward versus the order partition pre-whiten algorithm. Simulation results are presented to show that the method is effective in enhancing the echo-to-reverberation ratio, and the performance of reverse partition pre-whiten algorithm is better than the order partition pre-whiten algorithm.

  • An adaptive signal processing for enhanced target detection in active sonar systems

    Active sonar systems are faced with the difficult task of detecting moving targets in strong reverberation environments. Since the effective cancelling of the reverberation cannot be accomplished with a fixed notch filter, a filter structure to recover target signals obscured by the reverberation is proposed. The proposed scheme consists of an adaptive filter and a fixed filter. The optimum and suboptimum solutions are also considered. Experiments for an active sonar system are performed to examine the potential of the proposed structure for the target signal enhancement problem.

  • 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.<<ETX>>

  • A Method of Target Range Determination from Bearing Rate

    The target bearing rate is very important for determination of the target motion parameters. Based on the different target bearing rates obtained by the moving observing-platform respectively before and after its maneuver, a covert, swift and approximate principal method of target range determination was proposed, and aiming at the different typical situations at sea, the target range determinations were simulated by the above principal method. Besides, the correctness of the principal method was also analyzed and validated, and the relations between the target range relative error and the target speed or target initial range or target initial relative bearing were presented as well.

  • A time-series processor for sonar mapping and novelty detection

    A time-series processor chip, intended for sonar mapping and novelty detection applications, has been designed, fabricated and tested. The chip, when coupled with a sonar bearing and range estimation unit, receives an image of the environment as a voltage waveform. The bearing of an object is given by the magnitude of the signal, while its range is given by its time following the transmission of the sonar 'ping'. The chip stores this voltage waveform in a bank of sample-and-hold (S/H) elements and compares it to a previously stored trace. Objects that move in either azimuth or range are immediately detected and reported. The chip contains 54 S/H elements that are triggered by an on- board timer. The change detector can detect motion in bearing and range of 10 degrees/s and 11 cm/s, respectively. The maximum range is approximately 5 m. Operating in the CMOS subthreshold region of operation, the novelty detection chip is designed for ultra-low power and micro-footprint smart surveillance systems. Implemented in a CMOS 0.5 um process, it consumes less than 20 uW @ 8 Hz repetition rate (and less than 6 uW quiescent) with a 3 V supply and occupies less than 0.3 sq. mm.

  • Direct Evaluation of Radar Detection Probabilities

    A simple and effective procedure for evaluating detectionperformances in radar and sonar detection problems is derived forboth fixed-threshold and adaptive- threshold detection. Using theprocedure, the cumulative probabilities of the test statistic can bedirectly evaluated from the moment generating functions bycalculating residues. The exact formulae for computing the detectionperformances for the chi-square family of fluctuating targets withan integer fluctuation parameter are given in a finite sum formwithout any special functions for both fixed threshold and cellaverageconstant false-alarm rate detection by using the methoddeveloped here.



Standards related to Sonar detection

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