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
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Deep segmentation of 3+1D radar point cloud for real-time roadside traffic user detection
Scientific ReportsSmart cities rely on intelligent infrastructure to enhance road safety, optimize traffic flow, and enable vehicle-to-infrastructure (V2I) communication.
Savankumar Bhanderi +2 more
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A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving
SensorsMulti-sensor fusion object detection is an advanced method that improves object recognition and tracking accuracy by integrating data from different types of sensors.
Hai Wang +3 more
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Situation awareness via Internet of things and in-network data processing
International Journal of Distributed Sensor Networks, 2017 Computing on the edge of the Internet of things comprises among other tasks in-sensor signal processing and performing distributed data fusion and aggregation at network nodes.
Johannes Ehala +7 more
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Research on multisensor high precision data fusion algorithm for mobile robot
Dianzi Jishu Yingyong, 2018 In this paper, based on fuzzy proximity data fusion algorithm, the algorithm of multi-sensor high precision data fusion for mobile robot is studied. The estimated value and the measured value are fuzzy, and the fuzzy lattice close degree is calculated ...
Ren Jie
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Data Fusion and Processing Technology of Wireless Sensor Network for Privacy Protection
Journal of Applied Mathematics, 2023 Data fusion and privacy protection technologies are both the research focuses in the field of wireless sensor networks. When the sensor network is in a harsh environment, the sensor nodes will face the danger of malicious entity attack in the data fusion
Lusheng Shi, Kai Li, Huibo Zhu
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System based on inertial sensors for behavioral monitoring of wildlife [PDF]
, 2015 Sensors Network is an integration of multiples sensors in a system to collect information about different environment variables. Monitoring systems allow us to determine the current state, to know its behavior and sometimes to predict what it is ...
Domínguez Morales, Juan Pedro +4 more
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Deep Multimodal Representation Learning from Temporal Data
, 2017 In recent years, Deep Learning has been successfully applied to multimodal learning problems, with the aim of learning useful joint representations in data fusion applications.
Bernal, Edgar A. +5 more
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Tracking filter and multi-sensor data fusion [PDF]
, 2000 In this paper factorization filtering, fusion filtering strategy and related algorithms are presented.
Appavu, Raj R +3 more
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Multi-sensor Multi-resolution Data Fusion Modeling
Procedia CIRP, 2014 AbstractInspection analysis of 3D objects has progressed significantly due to the evolution of advanced sensors. Current sensors facilitate surface scanning at high or low resolution levels. In the inspection field, data from multi-resolution sensors have significant advantages over single-scale data.
Tansky, Dmitry +4 more
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