Results 11 to 20 of about 42,403 (260)
EURASIP Journal on Advances in Signal Processing, 2021 Nowadays, the pace of society is accelerating, people’s living standard has been greatly improved compared with the past, and we pay more and more attention to the real-time, flexibility, and intelligence of medical services.
Di Zhang
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Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks
Sensors, 2023 Aiming at the problem of asynchronous multi-target tracking, this paper studies the AA fusion optimization problem of multi-sensor networks. Firstly, each sensor node runs a PHD filter, and the measurement information obtained from different sensor nodes
Kuiwu Wang +3 more
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Multi-Sensor Data Fusion Method Based on Self-Attention Mechanism
Applied Sciences, 2023 In 3D reconstruction tasks, single-sensor data fusion based on deep learning is limited by the integrity and accuracy of the data, which reduces the accuracy and reliability of the fusion results. To address this issue, this study proposes a multi-sensor
Xuezhu Lin +5 more
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Multi-Sensor Information Fusion [PDF]
, 2020 This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research ...
Gao, Yuan, Jin, Xue-Bo
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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-Sensor Fusion for Activity Recognition—A Survey [PDF]
Sensors, 2019 In Ambient Intelligence (AmI), the activity a user is engaged in is an essential part of the context, so its recognition is of paramount importance for applications in areas like sports, medicine, personal safety, and so forth. The concurrent use of multiple sensors for recognition of human activities in AmI is a good practice because the information ...
Antonio A. Aguileta +4 more
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A Review of Multi-Sensor Fusion in Autonomous Driving. [PDF]
Sensors (Basel)Multi-modal sensor fusion has become a cornerstone of robust autonomous driving systems, enabling perception models to integrate complementary cues from cameras, LiDARs, radars, and other modalities. This survey provides a structured overview of recent advances in deep learning-based fusion methods, categorizing them by architectural paradigms (e.g ...
Qian H, Wang M, Zhu M, Wang H.
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Multi-sensor conflict measurement and information fusion [PDF]
SPIE Proceedings, 2016 In sensing applications where multiple sensors observe the same scene, fusing sensor outputs can provide improved results. However, if some of the sensors are providing lower quality outputs, the fused results can be degraded. In this work, a multi-sensor conflict measure is proposed which estimates multi-sensor conflict by representing each sensor ...
Pan Wei, John E. Ball, Derek T. Anderson
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Multi‐vehicle multi‐sensor occupancy grid map fusion in vehicular networks
IET Communications, 2022 Sensing is an essential part in autonomous driving and intelligent transportation systems. It enables the vehicle to better understand itself and its surrounding environment.
Xi Meng, Dongliang Duan, Tao Feng
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Unmanned driving-oriented underground mine pedestrian detection method
Gong-kuang zidonghua, 2021 Pedestrian detection is a key technology for unmanned driving in underground coal mine, which is affected by uneven illumination, complex background, infrared interference, dim light and small and dense targets in images, etc.
LIU Beizhan1 +2 more
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