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Songnan Chen, Mengxia Tang, Ruifang Dong and Jiangming Kan
The semantic segmentation of outdoor images is the cornerstone of scene understanding and plays a crucial role in the autonomous navigation of robots. Although RGB?D images can provide additional depth information for improving the performance of semanti...
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Hyejeong Ryu
An efficient, hierarchical, two-dimensional (2D) path-planning method for large complex environments is presented in this paper. For mobile robots moving in 2D environments, conventional path-planning algorithms employ single-layered maps; the proposed a...
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Fangfang Liu and Ming Fang
Image semantic segmentation technology has been increasingly applied in many fields, for example, autonomous driving, indoor navigation, virtual reality and augmented reality. However, underwater scenes, where there is a huge amount of marine biological ...
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Hanna Abramova, Oleg Avrunin
Pág. 115 - 121
The subject matter of research in the article is the morphological structure of bone tissue in the lumbar spine, visualized by tomography in the sagittal and axial planes. The goal of the research is to create the most informative investigation method fo...
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Elzbieta Lewandowicz, Przemyslaw Lisowski and Pawel Flisek
Automatic methods for constructing navigation routes do not fully meet all requirements. The aim of this study was to modify the methodology for generating indoor navigation models based on the Medial Axis Transformation (MAT) algorithm. The simplified m...
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Pengcheng Shi, Qin Ye and Lingwen Zeng
Herein, we propose a novel indoor structure extraction (ISE) method that can reconstruct an indoor planar structure with a feature structure map (FSM) and enable indoor robot navigation using a navigation structure map (NSM). To construct the FSM, we fir...
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Yuxiang Zhou, Xiang Cai, Qingfeng Zhao, Zhoufang Xiao and Gang Xu
The frame field distributed inside the model region characterizes the singular structure features inside the model. These singular structures can be used to decompose the model region into multiple quadrilateral structures, thereby generating a block-str...
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Selene Tomassini, Haidar Anbar, Agnese Sbrollini, MHD Jafar Mortada, Laura Burattini and Micaela Morettini
The brain is the organ most studied using Magnetic Resonance (MR). The emergence of 7T scanners has increased MR imaging resolution to a sub-millimeter level. However, there is a lack of automatic segmentation techniques for 7T MR volumes. This research ...
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Yizhuo Zhang, Hantao Liu, Xingyu Liu and Huiling Yu
Due to the complex structure of high-canopy-density forests, the traditional individual tree segmentation (ITS) algorithms based on ALS point cloud, which set segmentation threshold manually, is difficult to adequately cover a variety of complex situatio...
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Chengming Zhang, Shuai Gao, Xiaoxia Yang, Feng Li, Maorui Yue, Yingjuan Han, Hui Zhao, Ya?nan Zhang and Keqi Fan
When extracting winter wheat spatial distribution by using convolutional neural network (CNN) from Gaofen-2 (GF-2) remote sensing images, accurate identification of edge pixel is the key to improving the result accuracy. In this paper, an approach for ex...
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Steven M. Burgess,Roger D. Blackwell
AbstractPersonal values have become an important concept in consumer research. The authors test the value importance-brand preference link, compare brand preference value correlates with the universal content and structure recently proposed by Schwartz, ...
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Minh-Trieu Tran, Soo-Hyung Kim, Hyung-Jeong Yang and Guee-Sang Lee
Distorted medical images can significantly hamper medical diagnosis, notably in the analysis of Computer Tomography (CT) images and organ segmentation specifics. Therefore, improving diagnostic imagery accuracy and reconstructing damaged portions are imp...
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Fangbin Wang, Zini Wang, Zhong Chen, Darong Zhu, Xue Gong and Wanlin Cong
To overcome the deficiencies in segmenting hot spots from thermal infrared images, such as difficulty extracting the edge features, low accuracy, and a high missed detection rate, an improved Mask R-CNN photovoltaic hot spot thermal image segmentation al...
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Fan Yang, Mingliang Che, Xinkai Zuo, Lin Li, Jiyi Zhang and Chi Zhang
Room segmentation is a basic task for the semantic enrichment of point clouds. Recent studies have mainly projected single-floor point clouds to binary images to realize two-dimensional room segmentation. However, these methods have difficulty solving se...
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Xin Chen, Hong Zhao and Ping Zhou
In anatomy, the lung can be divided by lung fissures into several pulmonary lobe units with specific functions. Identifying the lung lobes and the distribution of various diseases among different lung lobes from CT images is important for disease diagnos...
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Puti Yan, Zhen Cao, Jiangbo Peng, Chaobo Yang, Xin Yu, Penghua Qiu, Shanchun Zhang, Minghong Han, Wenbei Liu and Zuo Jiang
A flame?s structural feature is a crucial parameter required to comprehensively understand the interaction between turbulence and flames. The generation and evolution processes of the structure feature have rarely been investigated in lean blowout (LBO) ...
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Wenjing Ran, Jiasheng Wang, Kun Yang, Ling Bai, Xun Rao, Zhe Zhao and Chunxiao Xu
To address the problem of low accuracy in line element recognition of raster maps due to text and background interference, we propose a raster map line element recognition method based on an improved U-Net network model, combining the semantic segmentati...
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Brett Lawrence
Small unmanned aerial systems (sUAS) and relatively new photogrammetry software solutions are creating opportunities for forest managers to perform spatial analysis more efficiently and cost-effectively. This study aims to identify a method for leveragin...
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Lingzhi Yin and Yafei Wang
The internal structure and operation rules of railway network have become increasingly complex along with the expansion of the network, putting a higher demand on the development of the railway and the reliability and adaptability of the railway under ea...
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Mehmet Yildirimoglu, Jiwon Kim
Pág. 1034 - 1041
This paper proposes a novel approach to identify the pockets of activity or the community structure in a city network using multilayer graphs that represent the movement of disparate entities (i.e. private vehicles, buses and passengers) in the network. ...
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