Results 11 to 20 of about 71,058 (310)

Multi-sensor data fusion for urban area classification [PDF]

2011 Joint Urban Remote Sensing Event, 2011
Nowadays many sensors for information acquisition are widely employed in remote sensing and different properties of the objects can be revealed. Unfortunately each imaging sensor has its own limits on scene recognition in the sense of thematic, temporal,
Palubinskas, Gintautas, Gintautas Palubinskas, Reinartz, Peter, Makarau, Aliaksei, Aliaksei Makarau, Peter Reinartz   +5 more
core   +5 more sources

Multi-Sensor Data Fusion with a Reconfigurable Module and Its Application to Unmanned Storage Boxes [PDF]

Sensors, 2022
We present a multi-sensor data fusion model based on a reconfigurable module (RM) with three fusion layers. In the data layer, raw data are refined with respect to the sensor characteristics and then converted into logical values. In the feature layer, a
Sung-Kyu Lee, Seung-Hyun Hong, Won-Ho Jun, Youn-Sik Hong   +3 more
doaj   +2 more sources

High-Precision 3D Reconstruction in Complex Scenes via Implicit Surface Reconstruction Enhanced by Multi-Sensor Data Fusion [PDF]

Sensors
In this paper, we investigate implicit surface reconstruction methods based on deep learning, enhanced by multi-sensor data fusion, to improve the accuracy of 3D reconstruction in complex scenes.
Quanchen Zhou, Jiabao Zuo, Wenhao Kang, Mingwu Ren   +3 more
doaj   +2 more sources

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, Lei Zhang, Jian Yang, Chenfei Cao, Wen Wang, Yingying Ran, Zhiying Tan, Minzhou Luo   +7 more
doaj   +3 more sources

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, Seung-Yong Lee, Ji-Hoon Choi, Kyung-Ho Choi, Byung-Tae Jang   +4 more
doaj   +3 more sources

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
doaj   +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, Jun WANG, Shaoming WEI, Jinping SUN, Peng LEI   +4 more
doaj   +1 more source

A Fuzzy Dempster–Shafer Evidence Theory Method with Belief Divergence for Unmanned Surface Vehicle Multi-Sensor Data Fusion

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, Baojian Song, Yunsheng Fan, Guofeng Wang   +3 more
doaj   +1 more source

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
doaj   +1 more source

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, Shihan Chao, Dongming Yan, Lili Guo, Yue Liu, Lijuan Li   +5 more
doaj   +1 more source