Estimating Body Segment Orientation by Applying Inertial and Magnetic Sensing Near Ferromagnetic Materials [PDF]
, 2007 Inertial and magnetic sensors are very suitable for ambulatory monitoring of human posture and movements. However, ferromagnetic materials near the sensor disturb the local magnetic field and, therefore, the orientation estimation.
Baten, Chris T.M. +2 more
core +3 more sources
Multi-Task Multi-Sensor Fusion for 3D Object Detection [PDF]
Computer Vision and Pattern Recognition, 2019 In this paper we propose to exploit multiple related tasks for accurate multi-sensor 3D object detection. Towards this goal we present an end-to-end learnable architecture that reasons about 2D and 3D object detection as well as ground estimation and ...
Ming Liang +4 more
semanticscholar +1 more source
Review of the mathematical foundations of data fusion techniques in surface metrology [PDF]
, 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 ...
Ai C +34 more
core +1 more source
Performance Analysis of Different Types of Sensor Networks for Cognitive Radios
Journal of Electrical and Computer Engineering, 2012 We consider the problem of using multiple sensors to detect whether a certain spectrum is occupied or not. Each sensor sends its spectrum sensing result to a data fusion center, which combines all the results for an overall decision.
Chunxuan Ye +3 more
doaj +1 more source
IEEE 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
Consensus-based Distributed Variational Multi-object Tracker in Multi-Sensor Network [PDF]
arXiv, 2023 The growing need for accurate and reliable tracking systems has driven significant progress in sensor fusion and object tracking techniques. In this paper, we design two variational Bayesian trackers that effectively track multiple targets in cluttered environments within a sensor network.
arxiv
Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion [PDF]
, 2019 Multi-sensor data fusion technology in an important tool in building decision-making applications. Modified Dempster–Shafer (DS) evidence theory can handle conflicting sensor inputs and can be applied without any prior information.
Anwar, Sohel, Khan, Md Nazmuzzaman
core +1 more source
Sensors and Sensor Fusion Methodologies for Indoor Odometry: A Review
Polymers, 2022 Although Global Navigation Satellite Systems (GNSSs) generally provide adequate accuracy for outdoor localization, this is not the case for indoor environments, due to signal obstruction. Therefore, a self-contained localization scheme is beneficial under such circumstances.
Mengshen Yang +8 more
openaire +2 more sources
A sensor data fusion algorithm based on suboptimal network powered deep learning
Alexandria Engineering Journal, 2022 To improve the performance of data fusion in wireless sensor networks, based on the suboptimal network powered deep learning model, a data fusion algorithm that combines a stacked autoencoder (SAE) and a clustering protocol is proposed.
Ning Pan
doaj
MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review
Sensors, 2022 With autonomous driving developing in a booming stage, accurate object detection in complex scenarios attract wide attention to ensure the safety of autonomous driving.
Zhiqing Wei +5 more
doaj +1 more source