Results 101 to 110 of about 1,174,484 (222)

An Approach to Dynamic Sensing Data Fusion

Sensors, 2019
For the research and development of sensor systems, the collection and fusion of sensing data is the core. In order to make sensor data acquisition change with the change in environment, a dynamic data acquisition and fusion method based on feedback ...
Yunfei Yin, Liufa Guan, Chengen Zheng
doaj   +1 more source

A Weighted Belief Entropy-Based Uncertainty Measure for Multi-Sensor Data Fusion

Italian National Conference on Sensors, 2017
In real applications, how to measure the uncertain degree of sensor reports before applying sensor data fusion is a big challenge. In this paper, in the frame of Dempster–Shafer evidence theory, a weighted belief entropy based on Deng entropy is proposed
Yongchuan Tang, Deyun Zhou, Shuai Xu, Zichang He   +3 more
semanticscholar   +1 more source

A Novel Evidence Theory and Fuzzy Preference Approach-Based Multi-Sensor Data Fusion Technique for Fault Diagnosis

Italian National Conference on Sensors, 2017
The multi-sensor data fusion technique plays a significant role in fault diagnosis and in a variety of such applications, and the Dempster–Shafer evidence theory is employed to improve the system performance; whereas, it may generate a counter-intuitive ...
Fuyuan Xiao
semanticscholar   +1 more source

Fast grouping fusion method of dual carbon monitoring data based on DBSCAN clustering algorithm

Results in Engineering
Due to the serious redundant interference of dual-carbon monitoring data resources, threshold setting in the fusion process is inaccurate. To realize the sharing and utilization of monitoring data resources, a fast group fusion method of dual-carbon ...
Rui Ma, Jiangbo Sha, Shuang Zhang, Dongge Zhu, Wenni Kang, Jia Liu   +5 more
doaj   +1 more source

Study on Multi-Heterogeneous Sensor Data Fusion Method Based on Millimeter-Wave Radar and Camera. [PDF]

Sensors (Basel), 2023
Duan J.
europepmc   +1 more source

Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System. [PDF]

Sensors (Basel), 2023
Zhou H, Zhao Y, Liu Y, Lu S, An X, Liu Q.   +5 more
europepmc   +1 more source

A New Evidence Weight Combination and Probability Allocation Method in Multi-Sensor Data Fusion. [PDF]

Sensors (Basel), 2023
Ma L, Yao W, Dai X, Jia R.
europepmc   +1 more source

Transformer-Based Sensor Fusion for Autonomous Vehicles: A Comprehensive Review

IEEE Access
Sensor fusion is vital for many critical applications, including robotics, autonomous driving, aerospace, and beyond. Integrating data streams from different sensors enables us to overcome the intrinsic limitations of each sensor, providing more reliable
Ahmed Abdulmaksoud, Ryan Ahmed
doaj   +1 more source

Multi-Sensor Data Fusion Solutions for Blind and Visually Impaired: Research and Commercial Navigation Applications for Indoor and Outdoor Spaces. [PDF]

Sensors (Basel), 2023
Theodorou P, Tsiligkos K, Meliones A.
europepmc   +1 more source

Sensor Data Fusion Based on Deep Learning for Computer Vision Applications and Medical Applications. [PDF]

Sensors (Basel), 2022
Naqvi RA, Arsalan M, Qaiser T, Khan TM, Razzak I.   +4 more
europepmc   +1 more source