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A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving [PDF]
SensorsMulti-sensor fusion object detection is an advanced method that improves object recognition and tracking accuracy by integrating data from different types of sensors.
Hai Wang +3 more
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Hybrid Mode Sensor Fusion for Accurate Robot Positioning [PDF]
SensorsRobotic systems are becoming increasingly crucial in applications requiring high precision. While a robot can operate using basic sensor feedback under controlled conditions, achieving micro-level accuracy requires more comprehensive data integration ...
Viktor Masalskyi +3 more
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Deep learning empowered sensor fusion boosts infant movement classification [PDF]
Communications MedicineBackground To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments in early infancy.
Tomas Kulvicius +10 more
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Atmosphere, 2023 In order to study the influence of typical coal-fired flue gas components on the supersaturation characteristics in a multisection growth tube, a two-dimensional heat and mass transfer model was used to predict the supersaturation profiles formed by the ...
Yan Yu +6 more
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A GRAPH BASED BUNDLE ADJUSTMENT FOR INS-CAMERA CALIBRATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 In this paper, we present a graph based approach for performing the system calibration of a sensor suite containing a fixed mounted camera and an inertial navigation system.
D. Bender +5 more
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Sensors and Sensor’s Fusion in Autonomous Vehicles [PDF]
Sensors, 2021 Autonomous vehicle navigation has been at the center of several major developments, both in civilian and defense applications [...]
Andrzej Stateczny +2 more
openaire +3 more sources
Review of the Method for Distributed Multi-sensor Multi-target Tracking
Leida xuebao, 2023 Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It improves the accuracy and stability of target tracking by fusing multiple local sensor information.
Yajun ZENG +4 more
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A sensor data fusion algorithm based on suboptimal network powered deep learning
Alexandria Engineering Journal, 2022 To improve the performance of data fusion in wireless sensor networks, based on the suboptimal network powered deep learning model, a data fusion algorithm that combines a stacked autoencoder (SAE) and a clustering protocol is proposed.
Ning Pan
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Optica Advanced Photonics Congress 2022, 2022 We present a ptychography method to fuse data from two image sensors capturing different parts of the diffraction patterns and thereby extending the numerical aperture.
Kira Maathuis +2 more
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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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