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Mar 10, 2024 · This paper proposes a fault diagnosis algorithm based on multi-sensor and hybrid multimodal feature fusion to achieve high-precision fault diagnosis by ...
Missing: Estimation Traffic Surveillance.
Aug 21, 2023 · There are many studies on fault-tolerant design and faulty sensor identifications. Fault-tolerant estimation can be done by using the fault diagnosis method, ...
Missing: Surveillance. | Show results with:Surveillance.
Mar 14, 2024 · In the present study, a hybrid data-driven fault detection strategy is proposed, which is based on residual sequence analysis. Currently, the one-class support ...
Missing: Traffic Surveillance.
Jan 1, 2024 · A new trend is to incorporate data-driven fault detection models by utilizing machine learning (ML) and efficiently processing multiple machine sensor data to ...
Missing: Traffic Surveillance.
Aug 3, 2023 · First, a single-sensor multitarget-tracking method suitable for millimeter-wave radar and lidar is proposed to form the respective target tracks; second, the ...
Dec 12, 2023 · MSIF, also known as multi-sensor fusion, is a multi-level and multifaceted process that includes the detection, association, combination, and estimation of ...
Mar 22, 2024 · Finally, we discuss multi-modal and sensor-fusion approaches. These use multiple sensors in tandem or sequentially to improve detection accuracy. Table 1 ...
Jan 15, 2024 · It develops a new MATLAB graphical user interface for evaluating fuzzy implication functions, before using fuzzy logic to estimate the unknown states of a ...
Sep 8, 2023 · In [27], a hybrid tool wear prediction model is proposed, combining the prediction of an RF regression model into a simulation-based tool wear rate model. In [ ...
Missing: Traffic Surveillance.
Mar 21, 2024 · This tutorial will provide to the participants several of the latest state-of-the art advanced algorithms to estimate the states of multiple targets in clutter ...