Results 21 to 30 of about 71,058 (310)
Multi-sensor based strategy learning with deep reinforcement learning for unmanned ground vehicle
International Journal of Intelligent Networks, 2023 As intelligent Unmanned Ground Vehicles (UGVs) find broader applications in areas such as transportation and logistics. The fusion of multiple sensors becomes crucial, since it not only amplifies UGV perception in dynamic scenarios but also underpins ...
Mingyu Luo
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Multi-source data fusion method for structural safety assessment of water diversion structures
Journal of Hydroinformatics, 2021 Building safety assessment based on single sensor data has the problems of low reliability and high uncertainty. Therefore, this paper proposes a novel multi-source sensor data fusion method based on Improved Dempster–Shafer (D-S) evidence theory and ...
Sherong Zhang, Ting Liu, Chao Wang
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Sensors, 2023 Multi-modal sensors are the key to ensuring the robust and accurate operation of autonomous driving systems, where LiDAR and cameras are important on-board sensors.
Yan Zhang +6 more
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Multi-Sensor Fusion Technology Based on Aircraft: The Implementation of Aircraft State Monitoring [PDF]
MATEC Web of ConferencesMulti-sensor fusion technology has become a core element in developing modern Multi-sensor fusion technology, which has become a crucial component in advancing the modern aviation industry.
Bai Zirun, Xia Zixuan
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Design of Health Monitoring Program for Filling System based on Data Level Fusion
MATEC 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
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Sensor Data Fusion in Multi-Sensor Weigh-In-Motion Systems
Sensors, 2020 In this paper, we present the results of a comparison of two estimators of the gross vehicle weight (GVW) and the static load of individual axles of vehicles.
Janusz Gajda +2 more
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Multi-Sensor Data Fusion Approach for Kinematic Quantities
Energies, 2022 A theoretical framework to implement multi-sensor data fusion methods for kinematic quantities is proposed. All methods defined through the framework allow the combination of signals obtained from position, velocity and acceleration sensors addressing ...
Mauro D’Arco, Martina Guerritore
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Improving fusion of surveillance images in sensor networks using independent component analysis [PDF]
, 2007 In this paper we present a novel algorithm for fusion of multimodal surveillance images, based on ICA, which has an improved performance over sensor networks.
Cvejic, N, Canagarajah, CN, Bull, DR
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Compressive data fusion for multi-sensor image analysis [PDF]
2014 IEEE International Conference on Image Processing (ICIP), 2014 Multiple views of a scene — obtained via different sensing modalities — have the potential to significantly enhance image analysis for remote sensing and other applications. This benefit is expected to be significant if the multiple views are providing independent, yet useful, information about the underlying classes in a scene.
Saurabh Prasad +2 more
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IEEE Access, 2018 Deep learning has been widely used to fuse multi-sensor data for classification. However, current deep learning architecture for multi-sensor data fusion might not always perform better than single data source, especially for the fusion of hyperspectral ...
Wenzhi Liao +5 more
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