Multiagent Information Fusion for Connected Driving: A Review
IEEE Access, 2022 This paper reviews the state-of-the-art multi-sensor fusion approaches applicable in the next-generation intelligent transportation systems where connected vehicles are cooperatively driven for maximum safety and efficiency.
James Klupacs +5 more
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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
Robust Distributed Fusion with Labeled Random Finite Sets [PDF]
, 2017 This paper considers the problem of the distributed fusion of multi-object posteriors in the labeled random finite set filtering framework, using Generalized Covariance Intersection (GCI) method.
Battistelli, Giorgio +5 more
core +2 more sources
An Efficient Implementation Method for Distributed Fusion in Sensor Networks Based on CPHD Filters
Sensors, 2023 A highly efficient implementation method for distributed fusion in sensor networks based on CPHD filters is proposed to address the issues of unknown cross-covariance fusion estimation and long fusion times in multi-sensor distributed fusion. This method
Liu Wang, Guifen Chen
doaj +1 more source
Recovery and guidance technology of collision network based on multi-source information fusion [PDF]
MATEC Web of Conferences, 2021 To solve the problem of low precision of pose estimation and poor anti-jamming in the recovery process of small Shipborne UAV, a multi-sensor navigation scheme was proposed, based on vision / IMU / GPS fusion.
Li Kangyi, Wang Xinhua, Liu Zhengqing
doaj +1 more source
Spatial Whitening Framework for Distributed Estimation [PDF]
, 2011 Designing resource allocation strategies for power constrained sensor network in the presence of correlated data often gives rise to intractable problem formulations.
Chen, Hao +2 more
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Sensor registration for robotic applications [PDF]
, 2007 Multi-sensor data fusion plays an essential role in most robotic applications. Appropriate registration of information from different sensors is a fundamental requirement in multi-sensor data fusion.
Alempijevic, A +2 more
core +2 more sources
Adaptive sensor-fusion of depth and color information for cognitive robotics [PDF]
, 2011 Proceedings of: 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO), December 7-11, 2011, Phuket (Thailand)The presented work goes one step further than only combining data from different sensors.
Klimentjew, Denis, Zhang, Jianwei
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A Framework for SAR-Optical Stereogrammetry over Urban Areas [PDF]
, 2018 Currently, numerous remote sensing satellites provide a huge volume of diverse earth observation data. As these data show different features regarding resolution, accuracy, coverage, and spectral imaging ability, fusion techniques are required to ...
Bagheri, Hossein +3 more
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Motor On-Line Fault Diagnosis Method Research Based on 1D-CNN and Multi-Sensor Information
Applied Sciences, 2023 The motor is the primary impetus source of most mechanical equipment, and its failure will cause substantial economic losses and safety problems. Therefore, it is necessary to study online fault diagnosis techniques for motors, given the problems caused ...
Yufeng Gu +3 more
doaj +1 more source