Results 161 to 170 of about 9,392,941 (233)
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Cooperative multi sensor network for traffic safety applications at intersections
2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012To significantly reduce injury and fatal accidents smart intersections equipped with sensors and communication infrastructure have been proposed. In this publication a novel multi sensor network to perceive the intersection environment is presented. Based on an intensive analysis of accident scenarios in Germany the system was designed to address 75 ...
M. Goldhammer +5 more
semanticscholar +3 more sources
Multi-Sensor Network Information for Linear-Gaussian Multi-Target Tracking Systems
IEEE Transactions on Signal Processing, 2021Methods for information-theoretic control for networks of sensors are of interest for enabling the development of autonomous sensor systems. In this paper we revisit the fundamentals of information theoretic-based control for multi-target systems and ...
Daniel E. Clark
semanticscholar +1 more source
IEEE Robotics and Automation Letters, 2021
Touch-free guided hand gesture recognition for human-robot interactions plays an increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth cameras provide more practical information for recognition accuracy enhancement ...
Wen Qi +4 more
semanticscholar +1 more source
Touch-free guided hand gesture recognition for human-robot interactions plays an increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth cameras provide more practical information for recognition accuracy enhancement ...
Wen Qi +4 more
semanticscholar +1 more source
Distributed multi-target tracking over an asynchronous multi-sensor network
International Radar Conference, 2020This paper addresses distributed multi-target tracking (DMTT) over an asynchronous multi-sensor network (AMSN). Within the AMSN, the sensor nodes are usually misaligned in time due to different sampling instants and/or rates.
Gu-Chong Li +3 more
semanticscholar +1 more source
International Journal of Systems Science, 2021
Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering due to its advantage of effectively integrating sensor outputs from multiple sources.
Hang Geng +3 more
semanticscholar +1 more source
Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering due to its advantage of effectively integrating sensor outputs from multiple sources.
Hang Geng +3 more
semanticscholar +1 more source
, 2020
Active ultrasonic guided wave is considered to be the most effective and important on-line damage monitoring method for industrial steel plates structure health monitoring.
Han-Fei Zhang +7 more
semanticscholar +1 more source
Active ultrasonic guided wave is considered to be the most effective and important on-line damage monitoring method for industrial steel plates structure health monitoring.
Han-Fei Zhang +7 more
semanticscholar +1 more source
Decorrelators for multi‐sensor systems in CDMA networks
European Transactions on Telecommunications, 1995AbstractIn this paper we consider a multi‐sensor detection problem in both additive white Gaussian noise (AWGN) and fading channels with the users using the channel based on a code division multiple access (CDMA) scheme. Several multi‐sensor detectors that have been studied previously do offer good performance; however, these detectors require the ...
Srinivas Kandala +2 more
openaire +2 more sources
A Detection Method of Multi-Sensor for Radar Countermeasure Network
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020With the development of radar technology and system, detecting in radar countermeasure network will be an inevitable trend. However, directly using the sampled data for signal detection will cause a problem, i.e., the calculation amount will be larger as the numbers of receivers and samples increase.
Yanli Tang +4 more
openaire +1 more source
IEEE Transactions on Instrumentation and Measurement, 2020
An enhanced intelligent diagnosis method for rotary equipment is proposed based on multi-sensor data-fusion and an improved deep convolutional neural network (CNN) models.
Huaqing Wang +4 more
semanticscholar +1 more source
An enhanced intelligent diagnosis method for rotary equipment is proposed based on multi-sensor data-fusion and an improved deep convolutional neural network (CNN) models.
Huaqing Wang +4 more
semanticscholar +1 more source
Multi-Sensor Multi-Network Positioning
2012This chapter discusses methods for positioning utilizing multiple sensors and networks. For achieving seamless positioning and navigation in a smartphone from satellite signal denied areas such as indoors to everywhere outdoors, various technologies to replace and assist satellite navigation, and flexible integration algorithms for measurement fusion ...
Heidi Kuusniemi, Yuwei Chen, Liang Chen
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