1,255 resources related to Ultrasonic Sensors
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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 full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
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.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
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.
IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
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 ...
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.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
2016 International Conference on Communication and Signal Processing (ICCSP), 2016
The aim is to design a low cost and reliable Object Recognition System. In the system, horizontal array of ultrasonic sensors is used for object recognition. The advantage to use ultrasonic sensor is the ease with which distances can be obtained from immediate objects without intensive processing. Recognition methods with an ultrasonic sensor are often utilized in situations where optical ...
2009 Chinese Control and Decision Conference, 2009
Online paint film thickness measuring is important in the production of continuous coating line. A method of film thickness measuring using pulsed eddy current (PEC) and ultrasonic sensors without contacting the film itself is proposed. PEC is a new nondestructive testing (NDT) technique which using a broadband pulse excitation with rich frequency information and has wide application potentials. An ultrasonic ...
2013 International Conference on Control, Automation, Robotics and Embedded Systems (CARE), 2013
Autrebot; indoor trash detection and collection system using autonomously directed robotic exploration algorithm is presented. The algorithm has linear time complexity and is developed using two ultrasonic sensors. The key feature of this algorithm is the acquisition of object location based on the sensor output. The two sensor interface is specially implemented for intelligent decision making and proper identification of ...
2007 International Conference on Control, Automation and Systems, 2007
This paper discusses the implementation of a binaural sensory pod using an ultrasonic emitter and two receivers on a mobile robot that employs legged- style locomotion. A series of obstacle avoidance behavior programmed onto a micro-controller allows the robot is to successfully navigate a cluttered environment both semi-autonomous and automatically. Inspired by insects and other animals, robots have been designed ...
2015 15th International Conference on Control, Automation and Systems (ICCAS), 2015
In this paper, a wireless localization method using ultrasonic sensors signals, Zigbees, and encoders is proposed. The proposed method avoids any interferences of signals by communicating one transmitter at a time with the help of Zigbee signals. Moreover, the wireless location information is integrated with a relative localization information by encoders using a Kalman filter for more high accurate measurements. ...
Women In Engineering Focus on Technical Activities - Christina Schober - Sections Congress 2017
Yuan-ting Zhang AMA EMBS Individualized Health
Robot Redux: Lego's Mindstorms NXT in action
Advanced Capacitive Sensing for Consumer, Industrial, and Automotive Applications - Lecture by Dr. Hans Klein
The Fundamentals of Compressive Sensing, Part I: Introduction
Long & Winding Road From Technology to Products - Keynote David Alland - IEEE EMBS at NIH, 2019
IEEE Magnetics Distinguished Lecture - Alison B. Flatau
NeXOS: Observations Supporting Ocean Sustainability
The Future of Power Electronics in Robotics: APEC 2019
IMS 2015 Keynote: Soft Assemblies of Radios, Sensors and Circuits for the Skin
Amalga: Alternative to MEMS Technology for Miniature RF Components
Lighting the Way: Optical Sensors in the Life Sciences
Living the Future Now: The challenges and promise of pervasive computing
Autonomous Driving & Driverless Cars - Grant Imahara and Paul Godsmark from CAVCOE
Magnetic Nanowires: Revolutionizing Hard Drives, RAM, and Cancer Treatment
MicroApps: Simplifying Microwave Power Amplifer Characterization using Power Meter & Sensors (Agilent Technologies)
Honors 2020: John Vig Wins the IEEE Richard M. Emberson Award
Skillful Manipulation Based on High-Speed Sensory-Motor Fusion
Visual Wake Words Challenge - Aakanksha Chowdhery - LPIRC 2019
The aim is to design a low cost and reliable Object Recognition System. In the system, horizontal array of ultrasonic sensors is used for object recognition. The advantage to use ultrasonic sensor is the ease with which distances can be obtained from immediate objects without intensive processing. Recognition methods with an ultrasonic sensor are often utilized in situations where optical sensors cannot be used or in objects which are hard to be identified by the approach based on the light. Also ultrasonic sensors have low cost compared to other devices. Thus ultrasound sensor seems to be a good solution to detect and recognize several objects. In the paper, new approach is proposed in which response of ultrasonic sensor from rough surface objects is used for object recognition. When object surface has roughness of specific degree, incident ultrasonic waves scatter more and part of ultrasonic may return to the sensor receiver. Thus recognition of objects having critical orientation with respect to ultrasonic sensors array or rough surfaces has become possible.
Online paint film thickness measuring is important in the production of continuous coating line. A method of film thickness measuring using pulsed eddy current (PEC) and ultrasonic sensors without contacting the film itself is proposed. PEC is a new nondestructive testing (NDT) technique which using a broadband pulse excitation with rich frequency information and has wide application potentials. An ultrasonic sensor and a PEC sensor were placed in adjacent position. Where the ultrasonic sensor measures the distance between the device and the upper surface of the paint film and the PEC sensor measures the distance between the device and the upper surface of the substrate. Compared the two distances the film thickness value was produced. The device is capable of accurately measuring thickness of various paint films, such as flat, glossy and metal-flake containing paint films. The method may be applied to continuous coating line. Laboratory experiments proposed the accurate and efficient.
Autrebot; indoor trash detection and collection system using autonomously directed robotic exploration algorithm is presented. The algorithm has linear time complexity and is developed using two ultrasonic sensors. The key feature of this algorithm is the acquisition of object location based on the sensor output. The two sensor interface is specially implemented for intelligent decision making and proper identification of the object of interest, ignoring stray mobile objects or walls. Pneumatic actuators are used for the pickup and disposal of trash once it has been successfully located. Experiments with the algorithm have been conducted in static as well as dynamic environments and its performance analyzed for multiple scenarios. The algorithm can be thus extended for locating a particular object of interest based on its physical attributes.
This paper discusses the implementation of a binaural sensory pod using an ultrasonic emitter and two receivers on a mobile robot that employs legged- style locomotion. A series of obstacle avoidance behavior programmed onto a micro-controller allows the robot is to successfully navigate a cluttered environment both semi-autonomous and automatically. Inspired by insects and other animals, robots have been designed with physical antennae and tactile sensors to navigate their environment. While insects have compliant, articulated antennae to sense their environment, mechanical antennae for mobile robots are usually less compliant and can possibly impede the robot while it is navigating difficult terrain. The use of non-contact sensors based on biological hearing can alleviate this problem. Inspired by the intramural time difference method of sound location, as used by larger animals, and using a self generated sound pulse, as in the echo location of bats, a binaural sensor pod was created using ultrasonic sensors.
In this paper, a wireless localization method using ultrasonic sensors signals, Zigbees, and encoders is proposed. The proposed method avoids any interferences of signals by communicating one transmitter at a time with the help of Zigbee signals. Moreover, the wireless location information is integrated with a relative localization information by encoders using a Kalman filter for more high accurate measurements. The proposed algorithm was implemented on a mobile robot and tested in several scenarios. The experimental results show the improved localization performance of the proposed algorithm, compared with other relative or wireless localization methods.
In this work, analyses of Kalman filtering for wind speed measurement using ultrasonic sensors is presented. A technique based on the Kalman filter procedure is developed for the determination of the wind speed. Data are gathered using the Discrete Extended Kalman Filter (DEKF) algorithm. The assessment of uncertainties on the wind speed measurement is analyzed. Practical design issues are considered and an application example is shown in order to illustrate the proposed procedure.
So far, mobile robot equipped with multiple ultrasonic sensors with fixed beam-width has been used in robot navigation. In this paper, we used multiple ultrasonic sensors with different beam-widths in mobile robot navigation. The use of ultrasonic sensor with small beam-width gives good resolution in recognizing environmental condition and we need more sensors to detect obstacles in wide angular region. However, if we use wide beam-width ultrasonic sensors, we can detect surrounding obstacles with a few sensors. By fusing the aspects of ultrasonic sensors with different beam-widths, we can obtain more efficient collision avoidance behavior in robot control. We stacked three kinds of ultrasonic sensors and get distance information from each sensor. Small beam-width sensor can detect environment with high resolution and large beam-width sensor gives information on possible obstacles in robot motion. Using the approach, the robot can navigate through a complex environment.
A detecting method is presented for a robot with ultrasonic sensors in unknown environment. A structure model of the detecting system is built, and describing its operation principle. Because of the uncertainty, variability and unstructured of the environment, accurate exploration is almost impossible. Therefore, it is very difficult to realize high-precision control by the usual control methods of contact force. In order to solve the above- said problem, a human-simulation intelligent control method of contact force is presented. The basic principle of the intelligent control method is that it can chooses the appropriate programs prepared in advance according to the size and sign of the force error and change rate of the error. The experimental results show that this method greatly improves the control precision.
In the application of an industrial robot, it is often found that the workspace is restructured or changed from time to time, as with for example mining robots or some construction robots. In some special cases, where for example there is dust or insufficient illumination in the environment, the use of sensors is limited. Ultrasonic sensors have been widely used in the robot application for its simplicity and low cost. However, determining accurate distance and direction of the obstacle from ultrasonic sensors is quite difficult due to the expanding beam of the ultrasonic waves. The uncertainty about the distance and direction information limits the further application of ultrasonic sensors. In order to use ultrasonic sensors efficiently, a blackboard strategy for multiple ultrasonic sensors is developed in this paper. Based on the blackboard, information of the inner sensors of robot and information from ultrasonic sensors are integrated and fused at the data- level, character level and decision level. Finally, a simulation shows that the uncertainty of the distance and direction information has been eliminated to some degree and a more accurate workspace has been obtained.
Several kinds of indoor localization systems have been developed for estimating objectpsilas position lately. They are classified according to the environment, the purpose of application, the media type and so on. In this paper, we propose an improved beacon system, having the ultrasonic media type, which can be used for indoor localization. Moreover, it can estimate the direction of a mobile object by using a digital compass. However it is very hard for the indoor localization system using ultrasonic sensors to achieve much highly precise localization for mobile objects since the ultrasonic sensor is highly sensitive to noises and external shocks. In order to overcome this problem, we adopt a bandpass-filter to protect ultrasonic sensors form external shocks or another noisy signals. In addition, the multi-modulation of ultrasonic sensors-using ultrasonic sensors with different frequency-improves the sampling rate of this system. And we present the application of UKF (Unscented Kalman Filter) to improve the localization performance of our indoor localization system. Consequently, the positioning accuracy and sampling rate of this system has been increased through bandpass-filter and multi-modulation.
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