Results 231 to 240 of about 42,403 (260)
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Effective fusion of distorted multi-sensor data
Proceedings of the 2003 IEEE International Symposium on Intelligent Control ISIC-03, 2003A framework for the detection of bandlimited signals by intelligently fusing the multi-nonlinear sensor data is developed. Though most sensors used are assumed to be linear, none of them individually or in series give the truly linear relationship and errors are inevitable as a result of the assumption of linearity.
Sugathevan Suranthiran +1 more
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A variational approach to multi-sensor fusion of images
Applied Intelligence, 1995Past research into multi-modality sensor data fusion has given rise to approaches that are generally heuristic and ad hoc. In this paper we utilize the calculus of variations as the underlying framework for fusing registered images of different modalities when models relating these modalities are available.
Homer H. Pien, John M. Gauch
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A Review of Multi-sensor Data Fusion for Traffic
2018Data fusion is the process of integrating multi-sources data to obtain more consistent, accurate, and beneficial information than that provided by any single data source. This paper sum the state of the data fusion field and describes the most relevant studies. We first explain data fusion and multiple sensors Then, data fusion in traffic are reviewed.
Xue Zhao, Dongbo Zhang 0001
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A STPHD-Based Multi-sensor Fusion Method
2012In order to extract the peaks of PHD, a novel method STPHD has been proposed recently. This method can provide more accurate target state estimates than the general clustering algorithm such as k-means clustering. This paper presents a version of STPHD for multi-sensor scene and makes two contributions.
Zhenwei Lu +3 more
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Multi-sensor Information Fusion by Query Refinement
2002To support the retrieval and fusion of multimedia information from multiple real-time sources and databases, a novel approach for sensor-based query processing is described. The sensor dependency tree is used to facilitate query optimization. Through query refinement one or more sensor may provide feedback information to the other sensors. The approach
CHANG S. K +2 more
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Multi-Sensor Fusion for Navigation of Ground Vehicles
2022 26th International Conference on Methods and Models in Automation and Robotics (MMAR), 2022Jurek Z. Sasiadek, Arsalan Ahmed
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External multi-modal imaging sensor calibration for sensor fusion: A review
Information Fusion, 2023Zhouyan Qiu +2 more
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Multi-sensor fusion for body sensor network in medical human–robot interaction scenario
Information Fusion, 2020Kai Lin, Dongsheng Zhou, Qiang Zhang
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