Results 21 to 30 of about 109,079 (262)
This paper is concerned with the estimation of correlated noise and packet dropout for information fusion in distributed sensing networks. By studying the problem of the correlation of correlated noise in sensor network information fusion, a matrix ...
Weichen Shang +4 more
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The safe navigation of unmanned surface vehicles in the marine environment requires multi-sensor collaborative perception, and multi-sensor data fusion technology is a prerequisite for realizing the collaborative perception of different sensors.
Shuanghu Qiao +3 more
doaj +1 more source
Radar Voxel Fusion for 3D Object Detection
Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and weather conditions that need to be handled. In contrast to more constrained environments, such as automated underground trains, automotive perception systems ...
Felix Nobis +4 more
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Design of Health Monitoring Program for Filling System based on Data Level Fusion
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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Optimizing Neural Inertial Classification: A Benchmark Study of Data-Driven Techniques
Inertial sensors are widely used for pedestrian activity recognition. Recent advances in deep learning techniques have significantly improved the inertial classification task’s performance and robustness.
Ofir Kruzel, Zeev Yampolsky, Itzik Klein
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A Fault-Tolerant Multiple Sensor Fusion Approach Applied to UAV Attitude Estimation
A novel sensor fusion design framework is presented with the objective of improving the overall multisensor measurement system performance and achieving graceful degradation following individual sensor failures.
Yu Gu +3 more
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Using the Kinect sensor device and its related Microsoft software development kit (SDK), a Kinect-SDK speech recognition system can be easily established. However, such speech recognition systems exhibit substandard recognition performance and unreliable
Ing-Jr Ding, Shih-Kai Lin
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Event-Triggered Robust Fusion Estimation for Multi-Sensor Time-Delay Systems with Packet Drops
This paper investigates the robust fusion estimation problem for multi-sensor systems with communication constraints, parameter uncertainty, d-step state delays, and deterministic control inputs.
Xiaolei Du, Huabo Liu, Haisheng Yu
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Today, clinicians often do diagnosis and classification of diseases based on information collected from several physiological sensor signals. However, sensor signal could easily be vulnerable to uncertain noises or interferences and due to large ...
Shahina Begum +2 more
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ABSTRACT Pediatric intramedullary low‐grade gliomas (PIMLGGs) are rare neoplasms that present unique clinical and management challenges. Although surgery remains the primary tool for tissue diagnosis and decompression, complete gross‐total resection is frequently unfeasible due to the infiltrative nature of these lesions.
Olga M. Sergeenko +5 more
wiley +1 more source

