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Advances in Multi-Sensor Data Fusion: Algorithms and Applications [PDF]
Sensors, 2009 With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a
Dong Jiang +2 more
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A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
Remote Sensing, 2022 The ability of intelligent unmanned platforms to achieve autonomous navigation and positioning in a large-scale environment has become increasingly demanding, in which LIDAR-based Simultaneous Localization and Mapping (SLAM) is the mainstream of research
Xiaobin Xu +7 more
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Multi-Sensor Data Fusion for Future Telematics Application [PDF]
Journal of Astronomy and Space Sciences, 2003 In this paper, we present multi-sensor data fusion for telematics application. Successful telematics can be realized through the integration of navigation and spatial information.
Seong-Baek Kim +4 more
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Multi-Sensor Fusion in Automated Driving: A Survey
IEEE Access, 2020 With the significant development of practicability in deep learning and the ultra-high-speed information transmission rate of 5G communication technology will overcome the barrier of data transmission on the Internet of Vehicles, automated driving is ...
Zhangjing Wang, Yu Wu, Qingqing Niu
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A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving
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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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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Journal of Marine Science and Engineering, 2023 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
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Information fusion method of multichannel nanosensors based on neural network [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022 Information fusion approaches have been commonly used in multi sensor environments for the fusion and grouping of data from various sensors which is used further to draw a meaningful interpretation of the data. Traditional information fusion methods have
Chaoke Li
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Multi-Sensor Data Fusion Method Based on Self-Attention Mechanism
Applied Sciences, 2023 In 3D reconstruction tasks, single-sensor data fusion based on deep learning is limited by the integrity and accuracy of the data, which reduces the accuracy and reliability of the fusion results. To address this issue, this study proposes a multi-sensor
Xuezhu Lin +5 more
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Multi-sensor based strategy learning with deep reinforcement learning for unmanned ground vehicle
International Journal of Intelligent Networks, 2023 As intelligent Unmanned Ground Vehicles (UGVs) find broader applications in areas such as transportation and logistics. The fusion of multiple sensors becomes crucial, since it not only amplifies UGV perception in dynamic scenarios but also underpins ...
Mingyu Luo
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