Добірка наукової літератури з теми "Covariance-based fusion"
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Статті в журналах з теми "Covariance-based fusion"
Wang, Kuiwu, Qin Zhang, and Xiaolong Hu. "Multisensor and Multitarget Tracking Based on Generalized Covariance Intersection Rule." Mathematical Problems in Engineering 2022 (August 18, 2022): 1–17. http://dx.doi.org/10.1155/2022/8264359.
Повний текст джерелаGao, Yuan, and Zi Li Deng. "Covariance Intersection Fusion Kalman Estimators." Applied Mechanics and Materials 121-126 (October 2011): 750–54. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.750.
Повний текст джерелаZhao, Kai, Li-Guo Tan, and Shen-Min Song. "Fusion estimation for nonlinear multi-sensor networked systems with packet loss compensation and correlated noises." Sensor Review 39, no. 5 (September 16, 2019): 682–96. http://dx.doi.org/10.1108/sr-11-2018-0311.
Повний текст джерелаWang, Dapeng, Hai Zhang, and Baoshuang Ge. "Adaptive Unscented Kalman Filter for Target Tacking with Time-Varying Noise Covariance Based on Multi-Sensor Information Fusion." Sensors 21, no. 17 (August 29, 2021): 5808. http://dx.doi.org/10.3390/s21175808.
Повний текст джерелаShaukat, Nabil, Muhammad Moinuddin, and Pablo Otero. "Underwater Vehicle Positioning by Correntropy-Based Fuzzy Multi-Sensor Fusion." Sensors 21, no. 18 (September 14, 2021): 6165. http://dx.doi.org/10.3390/s21186165.
Повний текст джерелаZhang, Peng. "Multi-Channel ARMA Signal Covariance Intersection Fusion Kalman Smoother." Advanced Materials Research 655-657 (January 2013): 701–4. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.701.
Повний текст джерелаLi, Ming Jing, Yu Bing Dong, and Jie Li. "Pixel Level Image Fusion Algorithm Based on PCA." Applied Mechanics and Materials 448-453 (October 2013): 3658–61. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.3658.
Повний текст джерелаPeng, Duo, Jingqiang Zhao, and Tongtong Xu. "Intelligent Building Data Fusion Algorithm by Using the Internet of Things Technology." Journal of Physics: Conference Series 2143, no. 1 (December 1, 2021): 012030. http://dx.doi.org/10.1088/1742-6596/2143/1/012030.
Повний текст джерелаWang, Kuiwu, Qin Zhang, and Xiaolong Hu. "Improved Distributed Multisensor Fusion Method Based on Generalized Covariance Intersection." Journal of Sensors 2022 (October 28, 2022): 1–22. http://dx.doi.org/10.1155/2022/6348938.
Повний текст джерелаJin Zefenfen, 金泽芬芬, 侯志强 Hou Zhiqiang, 余旺盛 Yu Wangsheng, and 王. 鑫. Wang Xin. "Multiple Feature Fusion based on Covariance Matrix for Visual Tracking." Acta Optica Sinica 37, no. 9 (2017): 0915005. http://dx.doi.org/10.3788/aos201737.0915005.
Повний текст джерелаДисертації з теми "Covariance-based fusion"
Cirujeda, Santolaria Pol. "Covariance-based descriptors for pattern recognition in multiple feature spaces." Doctoral thesis, Universitat Pompeu Fabra, 2015. http://hdl.handle.net/10803/350033.
Повний текст джерелаThis dissertation explores the use of covariance-based descriptors in order to translate feature observations within regions of interest to a descriptor space using the feature covariance matrices as discriminative signatures. This space constitutes the particular manifold of symmetric positive definite matrices, with its own metric and analytical considerations, in which we can develop several machine learning algorithms for pattern recognition. Regardless of the feature domain, whether they are 2D image visual cues, 3D unstructured point cloud shape features, gesture and motion measurements from depth image sequences, or 3D tissue information in medical images, the covariance descriptor space acts as a unifying step in the task of keeping a common framework for several applications.
Частини книг з теми "Covariance-based fusion"
Jiang, Chao, Zhiling Wang, Huawei Liang, Shijing Zhang, and Shuhang Tan. "Motion State Estimation Based on Multi-sensor Fusion and Noise Covariance Estimation." In Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021), 706–16. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9492-9_70.
Повний текст джерелаAwasthi, Peeyush, Ashwin Yadav, Naren Naik, and Mudambi Ramaswamy Ananthasayanam. "A Constant Gain Kalman Filter for Wireless Sensor Network and Maneuvering Target Tracking." In Adaptive Filtering - Recent Advances and Practical Implementation [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98700.
Повний текст джерелаТези доповідей конференцій з теми "Covariance-based fusion"
Vanli, O. Arda, and Clark N. Taylor. "Covariance Estimation for Factor Graph Based Bayesian Estimation." In 2020 IEEE 23rd International Conference on Information Fusion (FUSION). IEEE, 2020. http://dx.doi.org/10.23919/fusion45008.2020.9190223.
Повний текст джерелаHu, Baiqing, Lubin Chang, and Fangjun Qin. "Robust Gaussian filtering based on M-estimate with adaptive measurement noise covariance." In 2017 20th International Conference on Information Fusion (Fusion). IEEE, 2017. http://dx.doi.org/10.23919/icif.2017.8009738.
Повний текст джерелаTang, Qi, Zhansheng Duan, Donglin Zhang, and X. Rong Li. "Estimation Fusion Based on Simplified Model for Cross-Covariance of Local Estimation Errors." In 2022 25th International Conference on Information Fusion (FUSION). IEEE, 2022. http://dx.doi.org/10.23919/fusion49751.2022.9841394.
Повний текст джерелаHe, Nanjun, Leyuan Fang, Shutao Li, and Antonio J. Plara. "Covariance Matrix Based Feature Fusion for Scene Classification." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8517914.
Повний текст джерелаReinhardt, Marc, Sanjeev Kulkarni, and Uwe D. Hanebeck. "Generalized covariance intersection based on noise decomposition." In 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI). IEEE, 2014. http://dx.doi.org/10.1109/mfi.2014.6997718.
Повний текст джерелаLai, Gan, Suqi Li, Wei Yi, Giorgio Battistelli, Luigi Chisci, and Lingjiang Kong. "Computationally Efficient CPHD Fusion based on Generalized Covariance Intersection." In 2019 IEEE Radar Conference (RadarConf19). IEEE, 2019. http://dx.doi.org/10.1109/radar.2019.8835504.
Повний текст джерелаHui-dong, Guo, Zhang Xin-hua, Xu Lin-zhou, Song Yuan, Xu Ce, and Tang Shao-bo. "Asynchronous Multisensor Data Fusion Based on Minimum Trace of Error Covariance." In 2006 9th International Conference on Information Fusion. IEEE, 2006. http://dx.doi.org/10.1109/icif.2006.301673.
Повний текст джерелаBailu Wang, Wei Yi, Suqi Li, Lingjiang Kong, and Xiaobo Yang. "Distributed fusion with multi-Bernoulli filter based on generalized Covariance Intersection." In 2015 IEEE International Radar Conference (RadarCon). IEEE, 2015. http://dx.doi.org/10.1109/radar.2015.7131133.
Повний текст джерелаJiang, Xiangang, Panpan Zhang, and Zizhu Fan. "Flame detection based on temporal-spatial block covariance matrix fusion features." In 2015 8th International Congress on Image and Signal Processing (CISP). IEEE, 2015. http://dx.doi.org/10.1109/cisp.2015.7407904.
Повний текст джерелаBriese, Danilo, Holger Kunze, and Georg Rose. "UWB localization using adaptive covariance Kalman Filter based on sensor fusion." In 2017 IEEE 17th International Conference on Ubiquitous Wireless Broadband (ICUWB). IEEE, 2017. http://dx.doi.org/10.1109/icuwb.2017.8250968.
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