|
|
|
|
|
Chi-Hieu Ngo, Seok-Ju Lee, Changhyun Kim, Minh-Chau Dinh and Minwon Park
In seaports, the automatic Grab-Type Ship Unloader (GTSU) stands out for its ability to automatically load and unload materials, offering the potential for substantial productivity improvement and cost reduction. Developing a fully automatic GTSU, howeve...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yaxin Wang, Qi Liu, Jie Yang, Guihong Ren, Wenqi Wang, Wuping Zhang and Fuzhong Li
To address the current problem of the difficulty of extracting the phenotypic parameters of tomato plants in a non-destructive and accurate way, we proposed a method of stem and leaf segmentation and phenotypic extraction of tomato plants based on skelet...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaoqiang Cheng, Zhongyu Liu, Huayi Wu and Haibo Xiao
Taking location-based service (LBS) as the research scenario and aiming at the limitation of visualizing LBS points of interest (POI) in conventional web maps, this article proposes a visualization method of LBS-POI based on tag cloud, which is called ?L...
ver más
|
|
|
|
|
|
|
|
|
|
|
Suhare Solaiman, Emad Alsuwat and Rajwa Alharthi
In this paper, a framework for simultaneous tracking and recognizing drone targets using a low-cost and small-sized millimeter-wave radar is presented. The radar collects the reflected signals of multiple targets in the field of view, including drone and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingxue Wang, Xiao Dong and Guangwei Liu
The accuracy of point cloud processing results is greatly dependent on the determination of the voxel size and shape during the point cloud voxelization process. Previous studies predominantly set voxel sizes based on point cloud density or the size of g...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jan Oellerich, Keno Jann Büscher and Jan Philipp Degel
With the function RooTri(), we present a simple and robust calculation method for the approximation of the intersection points of a scalar field given as an unstructured point cloud with a plane oriented arbitrarily in space. The point cloud is approxima...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lixue Zhu, Zhihao Zhang, Guichao Lin, Pinlan Chen, Xiaomin Li and Shiang Zhang
Currently, the detection and localization of tea buds within the unstructured tea plantation environment are greatly challenged due to their small size, significant morphological and growth height variations, and dense spatial distribution. To solve this...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenfeng Guan, Ju Chen, Lijian Chen, Jiaolong Cao and Hongjun Fan
Adopting proton exchange membrane fuel cells fuelled by hydrogen presents a promising solution for the shipping industry?s deep decarbonisation. However, the potential safety risks associated with hydrogen leakage pose a significant challenge to the deve...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinyue Lan, Liyue Wang, Cong Wang, Gang Sun, Jinzhang Feng and Miao Zhang
In this research, we introduce a deep-learning-based framework designed for the prediction of transonic flow through a linear cascade utilizing large-scale point-cloud data. In our experimental cases, the predictions demonstrate a nearly four-fold speed ...
ver más
|
|
|
|
|
|