|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Ziran Wu, Zhizhou Bao, Jingqin Wang, Juntao Yan and Haibo Xu
Smart and flexible manufacturing of electrical apparatuses.
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|