62   Artículos

 
en línea
Jiawei Zhang, Fenglei Han, Duanfeng Han, Jianfeng Yang, Wangyuan Zhao and Hansheng Li    
In the realm of ocean engineering and maintenance of subsea structures, accurate underwater distance quantification plays a crucial role. However, the precision of such measurements is often compromised in underwater environments due to backward scatteri... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Yifan Shang, Wanneng Yu, Guangmiao Zeng, Huihui Li and Yuegao Wu    
Image recognition is vital for intelligent ships? autonomous navigation. However, traditional methods often fail to accurately identify maritime objects? spatial positions, especially under electromagnetic silence. We introduce the StereoYOLO method, an ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Hui Liu, Kun Li, Luyao Ma and Zhijun Meng    
Headland boundary identification and ranging are the key supporting technologies for the automatic driving of intelligent agricultural machinery, and they are also the basis for controlling operational behaviors such as autonomous turning and machine lif... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Fengxu Wang, Wenfu Xu, Lei Yan, Chengqing Xie and Weihua Pu    
Accurately estimating the pose of spacecraft is indispensable for space applications. However, such targets are generally non-cooperative, i.e., no markers are mounted on them, and they include no parts for operation. Therefore, the detection and measure... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Shuhe Zheng, Yang Liu, Wuxiong Weng, Xuexin Jia, Shilong Yu and Zuoxun Wu    
Recognition and localization of fruits are key components to achieve automated fruit picking. However, current neural-network-based fruit recognition algorithms have disadvantages such as high complexity. Traditional stereo matching algorithms also have ... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Wang Zhiqiang, Pavel Balabanov, Dmytry Muromtsev, Ivan Ushakov, Alexander Divin, Andrey Egorov, Alexandra Zhirkova and Yevgeny Kucheryavii    
This article discusses a model of a robotic platform that can be used for the proximal probing of biological objects in an ecologically balanced zone. The proximal probing is for scanning deciduous and fertile parts of biological objects with a hyperspec... ver más
Revista: Drones    Formato: Electrónico

 
en línea
Kheireddine Choutri, Mohand Lagha, Souham Meshoul, Mohamed Batouche, Farah Bouzidi and Wided Charef    
The past decade has witnessed a growing demand for drone-based fire detection systems, driven by escalating concerns about wildfires exacerbated by climate change, as corroborated by environmental studies. However, deploying existing drone-based fire det... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ziran Wu, Zhizhou Bao, Jingqin Wang, Juntao Yan and Haibo Xu    
Smart and flexible manufacturing of electrical apparatuses.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xiangming Lei, Mingliang Wu, Yajun Li, Anwen Liu, Zhenhui Tang, Shang Chen and Yang Xiang    
To achieve the rapid recognition and accurate picking of Camellia oleifera fruits, a binocular vision system composed of two industrial cameras was used to collect images of Camellia oleifera fruits in natural environments. The YOLOv7 convolutional neura... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Kexin Zhao, Rui Jiang and Jun He    
Stereo 3D object detection remains a crucial challenge within the realm of 3D vision. In the pursuit of enhancing stereo 3D object detection, feature fusion has emerged as a potent strategy. However, the design of the feature fusion module and the determ... ver más
Revista: Algorithms    Formato: Electrónico

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