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Juqi Yin, Zhen Yang and Yazhong Luo
Performance of the traditional Kalman filter and its variants can seriously degrade when they are used to track a non-cooperative continuously thrusting spacecraft. To overcome this shortcoming, an adaptive tracking method for relative state estimation o...
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Juanli Jing, Menglin Zhai, Shiqing Dou, Lin Wang, Binghai Lou, Jichi Yan and Shixin Yuan
The accurate identification of citrus fruits is important for fruit yield estimation in complex citrus orchards. In this study, the YOLOv7-tiny-BVP network is constructed based on the YOLOv7-tiny network, with citrus fruits as the research object. This n...
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Alexander Robitzsch
Structural equation models (SEM) are widely used in the social sciences. They model the relationships between latent variables in structural models, while defining the latent variables by observed variables in measurement models. Frequently, it is of int...
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Alvaro Arroyo Cebeira and Mariano Asensio Vicente
In this paper, we propose a nonlinear tracking solution for maneuvering aerial targets based on an adaptive interacting multiple model (IMM) framework and unscented Kalman filters (UKFs), termed as AIMM-UKF. The purpose is to obtain more accurate estimat...
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Daniel P. Lubey and Todd A. Ely
This study investigates methods for autonomous navigation of a deep-space spacecraft where one-way radiometric and on-board optical information are fused to create a fully informed state estimate. The specific focus is on using filter bank methods (i.e.,...
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Quanhui Wang, En Fan and Pengfei Li
Incorporating obstacle information into maneuvering target-tracking algorithms may lead to a better performance when the target when the target maneuver is caused by avoiding collision with obstacles. In this paper, we propose a fuzzy-logic-based method ...
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Donghoon Shin, Subin Yi, Kang-moon Park and Manbok Park
Motion Prediction, Target Intent Inference, Urban Intersection, Automated Driving.
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Jui-Yuan Su, Shyi-Chyi Cheng, Chin-Chun Chang and Jing-Ming Chen
The image-based 3D scene modeling technique has potential applications in robotics, augmented reality (AR), geodesy, remote sensing, 3D face recognition, drone or vehicle navigation, and 3D printing.
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Zhongfa Zhou, Ruiwen Peng, Ruoshuang Li, Yiqiu Li, Denghong Huang and Meng Zhu
The Pitaya industry is a specialty fruit industry in the mountainous region of Guizhou, China. The planted area in Guizhou reaches 7200 ha, ranking first in the country. At present, Pitaya planting lacks efficient yield estimation methods, which has a ne...
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Mengbing Cao, Qianying Yi, Kaiying Wang, Jiangong Li and Xiaoshuai Wang
Precise ventilation rate estimation of a naturally ventilated livestock building can benefit the control of the indoor environment. Machine learning has become a useful technique in many research fields and might be applied to ventilation rate prediction...
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Sunni Kanta Prasad Kushwaha, Arunima Singh, Kamal Jain, Jozef Vybostok and Martin Mokros
In forestry research, for forest inventories or other applications which require accurate 3D information on the forest structure, a Terrestrial Laser Scanner (TLS) is an efficient tool for vegetation structure estimation. Light Detection and Ranging (LiD...
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Yongjie Zhu, Yi Zuo and Tieshan Li
In the current shipping industry, quantitative measures of ship fuel consumption (SFC) have become one of the most important research topics in environmental protection and energy management related to shipping operations. In particular, the rapid develo...
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Mohammed El-Diasty
Developing an accurate Lowest Astronomical Tide (LAT) in a continuous form is essential for many maritime applications as it can be employed to develop an accurate continuous vertical control datum for hydrographic surveys applications and to produce acc...
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Bo Zou, Zhanfeng Qi, Guangchao Hou, Zhaoxing Li, Xiaochen Yu and Jingsheng Zhai
The key to model-based Bayesian geoacoustic inversion is to solve the posterior probability distributions (PPDs) of parameters. In order to obtain PPDs more efficiently and accurately, the state-of-the-art Markov chain Monte Carlo (MCMC) method, multiple...
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Zhi Chen, Peizhong Liu, Yongzhao Du, Yanmin Luo and Wancheng Zhang
Correlation filter (CF) based tracking algorithms have shown excellent performance in comparison to most state-of-the-art algorithms on the object tracking benchmark (OTB). Nonetheless, most CF based tracking algorithms only consider limited single chann...
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Haibo Chu, Jiahua Wei, Jiaye Li, Zhen Qiao, Jiongwei Cao
Pág. 1 - 16
Medium- and long-term runoff forecasting is essential for hydropower generation and water resources coordinated regulation in the Yellow River headwaters region. Climate change has a great impact on runoff within basins, and incorporating different clima...
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Haibo Chu, Jiahua Wei, Jiaye Li, Zhen Qiao and Jiongwei Cao
Medium- and long-term runoff forecasting is essential for hydropower generation and water resources coordinated regulation in the Yellow River headwaters region. Climate change has a great impact on runoff within basins, and incorporating different clima...
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Shuai Yang, Zhihui Zou, Yingchao Li, Haodong Shi and Qiang Fu
To address the issue of poor tracking accuracy and the low recognition rate for multiple small targets in infrared images caused by uneven image intensity, this paper proposes an accurate tracking algorithm based on optical flow estimation. The algorithm...
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Dingli Zhang, Guozhong Huang, Haoxuan Li, Qing Deng and Xuehong Gao
Electric vehicle (EV) fire accidents are caused by multiple factors, including the traffic conditions, parking environment and firefighting facilities, and are a typical public safety issue in cities. Owing to the lack of accurate and quick estimation me...
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Alexander Robitzsch
Missing item responses are frequently found in educational large-scale assessment studies. In this article, the Mislevy-Wu item response model is applied for handling nonignorable missing item responses. This model allows that the missingness of an item ...
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