Results 21 to 30 of about 130,809 (315)

Constrained Bandwidth Allocation in Multi-Sensor Information Fusion: A Mechanism Design Approach [PDF]

open access: yes, 2005
Sensor networks are increasingly seen as a solution for a large number of environmental, security and military monitoring tasks. Typically, in these networks, noisy data from a number of local sensors is fused to reduce the uncertainty in the global ...
S. Reece   +14 more
core   +1 more source

Frequency-hopping/M -ary frequency-shift keying wireless sensor network monitoring multiple source events [PDF]

open access: yes, 2012
In this contribution, a novel wireless sensor network (WSN) assisted by M -ary frequency-shift keying (MFSK) modulation and frequency-hopping (FH), referred to as the FH/MFSK WSN, is proposed to monitor multiple source events (SEs).
Yang, Fucheng   +3 more
core   +1 more source

Analysis of sensor and fusion schedules of a time-triggered sensor fusion system [PDF]

open access: yes2007 10th International Conference on Information Fusion, 2007
In this paper we analyze the sensor and fusion schedules of a time-triggered, Kalman filter based, multi-sensor fusion system. The fusion system is used as an environmental perception platform for advanced driver assistance systems and delivers its service to a safety related application. As the application demands cyclic updates with bounded accuracy,
Moritz Mauthner   +2 more
openaire   +1 more source

Design of Health Monitoring Program for Filling System based on Data Level Fusion

open access: yesMATEC Web of Conferences, 2016
Aiming at filling system health monitoring, the health monitoring type partition based on the data level fusion is studied. The health monitoring type is mainly divided into two parts, fusion-threshold monitoring based on single sensor data and fusion ...
Cheng Long   +4 more
doaj   +1 more source

Multi-Sensor Context-Aware Clothing [PDF]

open access: yes, 2002
Inspired by perception in biological systems,distribution of a massive amount of simple sensingdevices is gaining more support in detectionapplications.
Van Laerhoven, Kristof   +10 more
core   +1 more source

Optimizing Neural Inertial Classification: A Benchmark Study of Data-Driven Techniques

open access: yesIEEE Journal of Indoor and Seamless Positioning and Navigation
Inertial sensors are widely used for pedestrian activity recognition. Recent advances in deep learning techniques have significantly improved the inertial classification task’s performance and robustness.
Ofir Kruzel, Zeev Yampolsky, Itzik Klein
doaj   +1 more source

A Fault-Tolerant Multiple Sensor Fusion Approach Applied to UAV Attitude Estimation

open access: yesInternational Journal of Aerospace Engineering, 2016
A novel sensor fusion design framework is presented with the objective of improving the overall multisensor measurement system performance and achieving graceful degradation following individual sensor failures.
Yu Gu   +3 more
doaj   +1 more source

Review of the mathematical foundations of data fusion techniques in surface metrology [PDF]

open access: yes, 2015
The recent proliferation of engineered surfaces, including freeform and structured surfaces, is challenging current metrology techniques. Measurement using multiple sensors has been proposed to achieve enhanced benefits, mainly in terms of spatial ...
Wang, Jian   +4 more
core   +1 more source

Performance Improvement of Kinect Software Development Kit–Constructed Speech Recognition Using a Client–Server Sensor Fusion Strategy for Smart Human–Computer Interface Control Applications

open access: yesIEEE Access, 2017
Using the Kinect sensor device and its related Microsoft software development kit (SDK), a Kinect-SDK speech recognition system can be easily established. However, such speech recognition systems exhibit substandard recognition performance and unreliable
Ing-Jr Ding, Shih-Kai Lin
doaj   +1 more source

Fusion of heterogeneous sensors data [PDF]

open access: yes2008 International Workshop on Intelligent Solutions in Embedded Systems, 2008
A configuration with heterogeneous sensors using different measurement approaches most likely overcome the problem of correlated measurement errors as they occur when employing a set of homogeneous sensors that suffer from the same problems. A heterogeneous approach requires sensor fusion algorithms that take the different uncertainties of the sensors ...
Wilfried Elmenreich, Robert Leidenfrost
openaire   +1 more source

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