Results 181 to 190 of about 25,488 (234)

Edge Computing-Enabled Multi-Sensor Data Fusion for Intelligent Surveillance in Maritime Transportation Systems

2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2022
With the rapid development of navigation technologies, maritime transportation has become one of the mainstream international trade channels. However, a large number of maritime traffic accidents still occur every year, which cause significant economic ...
Jingxiang Qu   +7 more
semanticscholar   +1 more source

Deep learning analysis based on multi-sensor fusion data for hemiplegia rehabilitation training system for stoke patients

Robotica (Cambridge. Print), 2021
By recognizing the motion of the healthy side, the lower limb exoskeleton robot can provide therapy to the affected side of stroke patients. To improve the accuracy of motion intention recognition based on sensor data, the research based on deep learning
Peng Zhang, Junxia Zhang
semanticscholar   +1 more source

Multi-sensor track fusion algorithm research and simulation analysis

2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT), 2022
Target tracking is extremely important in the military field. In multi-sensor data fusion processing, track fusion techniques are required to make the target position information more accurate and reliable.
Shouqing Chen   +3 more
semanticscholar   +1 more source

F-Net: Fusion Neural Network for Vehicle Trajectory Prediction in Autonomous Driving

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021
Recent research has been remarkable in recurrent neural networks (RNNs) on sequence-to-sequence problems for image caption, and promising in convolutional neural networks (CNNs) on spatial analysis problems for image detection and sematic segmentation ...
Jue Wang   +4 more
semanticscholar   +1 more source

A novel improved full vector spectrum algorithm and its application in multi-sensor data fusion for hydraulic pumps

Measurement, 2019
The full vector spectrum is an effective and efficient tool for homologous multi-sensor data fusion in rotating machinery. However, this methodology just takes Fourier Transform to obtain the harmonic trajectory information hidden in multi-sensor data ...
He Yu, Hong-ru Li, Yaolong Li, Yifan Li
semanticscholar   +1 more source

Model-Free Sensor Fusion for Redundant Measurements Using Sliding Window Variance

International Conference on Control, Automation and Systems, 2022
In this paper, a model-free data fusion method for combining redundant sensor data is presented. The objective is to maintain a reliable tool center point pose measurement of a long-reach robotic manipulator using a visual sensor system with multiple ...
P. Mäkinen   +3 more
semanticscholar   +1 more source

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