MagneticPillars++: Efficient LiDAR Odometry Via Deep Frame-To-Keyframe Point Cloud Registration by Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder

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A Cloud Detection System for UAV Sense and Avoid: Analysis of a Monocular Approach in Simulation and Flight Tests by Adrian Dudek, Peter Stütz

“…In order to contribute to the operation of unmanned aerial vehicles (UAVs) according to visual flight rules (VFR), this article proposes a monocular approach for cloud detection using an electro-optical sensor. …”
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Quality of Life Related to Visual Function in Three Young Adults with Mucopolysaccharidoses by Katherine L. Bergwerk, Yaron S. Rabinowitz, Rena L. Falk

“…The systemic mucopolysaccharidoses are complex syndromes, which may include corneal clouding as a mechanism leading to decreased vision and hence decreased quality of life. …”
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Visual localization in urban environments employing 3D city models by Y. Loeper, M. Gerke, A. Alamouri, A. Kern, M. S. Bajauri, P. Fanta-Jende

“…In contrast to the most commonly used sources for scene representation in visual localization, such as structure-from-motion (SfM) points clouds, CityGML models are already freely available for many cites worldwide, do not require a large amount of memory and the scene representation database does not have to be generated from images. …”
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PyWindAM: A Python software for wind field analysis and cloud-based data management by Nanxi Chen, Rujin Ma, Baixue Ge, Haocheng Chang

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Point rotation invariant features and attention fusion network for point cloud registration of 3D shapes by Zeyang Liu, Zhiguo Lu, Yancong Shan

“…The experimental results show that the method performs well in registration accuracy. Visualization experiments further illustrate the exceptional performance of our network in point cloud registration tasks.…”
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Risk Assessment Method and Application of Urban River Ecological Governance Project Based on Cloud Model Improvement by JunKe Xu, Xia Zhang

“…According to the evaluation results, the overall risk level of the project was medium, which is consistent with the risk level of the Jinghe River ecological management project at the current stage. (2) The limitation of the subjective qualitative concept caused by the traditional fuzzy comprehensive evaluation was fully considered in the improved method, and the application of the cloud-model based improved method in risk evaluation of the urban river ecological management project significantly improved the reliability and visualization of the evaluation results. …”
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A method for pre-determining edges in 3D point clouds using contour detectors in images by D. G. Filipov, S. L. Katsarska-Filipova, P. L. Raeva

“…In the observation of architectural objects, the point cloud is constantly gaining popularity as a tool for quantitative analysis and visualization. …”
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Robust SAR-assisted cloud removal via supervised align-guided fusion and bidirectional hybrid reconstruction by Anling Wang, Kai Xu, Wenxin Wang, Taoyang Wang, Zhaohong Jia, Chengcheng Fan

“…Experiments conducted on the SEN12MS-CR and GF-CR datasets demonstrate that our method outperforms six representative cloud removal methods, yielding an approximate gain of 0.4 in the peak signal-to-noise ratio and achieving satisfactory visualization performance. …”
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Ice crystal complexity leads to weaker ice cloud radiative heating in idealized single-column simulations by E. I. Sepulveda Araya, S. C. Sullivan, S. C. Sullivan, A. Voigt

“…Ice cloud radiative properties depend on the size, shape (or habit), and complexity, including surface roughness or hollowness, of in-cloud ice crystals. …”
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Point Cloud Geometry Scalable Coding Using a Resolution and Quality-Conditioned Latents Probability Estimator by Daniele Mari, Andre F. R. Guarda, Nuno M. M. Rodrigues, Simone Milani, Fernando Pereira

“…., the ability to generate a progressive bitstream, containing a base layer followed by multiple enhancement layers, that allow decoding the same bitstream serving multiple reconstructions and visualization specifications. While scalable coding is a well-known and addressed feature in conventional image and video codecs, this paper focuses on a new and very different problem, notably the development of scalable coding solutions for deep learning-based Point Cloud (PC) coding. …”
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Safety risk assessment of weak tunnel construction with rich groundwater using an improved weighting cloud model by Danjie Sheng, Fei Tan, Yu Zhang, Haijun Zhu, Changqun Zuo, Jiahe Lv

“…Second, the improved combination weight method was applied to obtain the optimal weights of each indicator. A cloud model was then used to visualize the final risk level and establish an evaluation system for soft and water-rich surrounding rocks. …”
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Risk Evaluation of Hazardous Chemical Road Transportation Accidents Based on a Combined Empowerment-Cloud Model by Haoyu Xu, Yong Liu, Zhihui Cheng, Qianqian Xiang, Wenhe Wang

“…Then, the weighting results are combined with the cloud model to calculate the risk level of the evaluation indices at all levels and to output the results in the form of a risk cloud diagram to visually determine the risk level of hazardous chemical road transportation. …”
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Optical and SAR Image Registration in Equatorial Cloudy Regions Guided by Automatically Point-Prompted Cloud Masks by Yifan Liao, Shuo Li, Mingyang Gao, Shizhong Li, Wei Qin, Qiang Xiong, Cong Lin, Qi Chen, Pengjie Tao

“…We use a prompt-driven visual segmentation model with automatic prompt point generation to produce cloud masks that guide cross-modal feature-matching and joint adjustment of optical and SAR data. …”
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Clouds Running Out of Juice: A Special Podcast Episode Featuring Tim Winton’s Climate Fiction by Rumen Rachev, Jo Pollitt, Emma Nicoletti

“…Simultaneously paper and podcast (papercast), we invite the reader to “listen” visually to the printed material that follows. Through discussion and excerpts from Clouds Running Out of Juice, a creative non-fiction episode of the fictional Ecosophic Generator podcast, the work incorporates AI-generated responses from “listeners” who inhabit the liminal space between present imaginings and future realities. …”
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DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data by Jiahui Dong, Maoyi Tian, Jiayong Yu, Guoyu Li, Yunfei Wang, Yuxin Su

“…This paper introduces an efficient 3D point cloud downsampling algorithm (DFPS) based on adaptive multi-level grid partitioning. …”
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A simplification method for large-scale urban point clouds considering diversity of terrain object features by Shen Shen, Yonghong Wu, Hongwei Zhang, Jiankai Lu, Hong Fan

“…Large-scale, high-precision urban point clouds are extensively utilized across various fields and serve as a fundamental data source for constructing digital twin cities. …”
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THE COLLABORATIVE DESIGNING OF A PERSONALIZED HYBRID LMS USING A VIRTUAL MACHINE IN A CLOUD ENVIRONMENT by Lina Čeponienė, Péter Galambos, Tamás Haidegger, Dariusz Mikulowski, Branislav Mišota, Oliver Moravcik, Enikő Nagy, Mariya P. Shyshkina, Pavel Smolka, Stefan Svetsky

“…As part of collaborative research in the field of technology-enhanced education and e-Learning design, the international team in the V4 EDUPORT project is implementing a personalized hybrid system on the IT infrastructure consisting of a specially designed desktop application WPad or web application (PIKS) and a common shared remote computer (virtual computer on a cloud server with Windows 2022). In this paper, the researchers share their experiences gained with their universities' academic LMSs (Moodle and AIS) and compare their personalization capabilities level to the teacher level and their use in the cloud. …”
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Overview of object detection methods based on LiDAR point cloud under adverse weather conditions by Yutian WU, Qing LI, Wenwei SUN, Heng WANG, Weiran WANG

“…This study comprehensively reviews state-of-the-art object detection methods based on LiDAR point clouds under adverse weather conditions. To establish the research background, we first summarize the basic concepts, tasks, methods, and evaluation metrics of point cloud object detection while analyzing the specific effects of adverse weather on detection performance. …”
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Digital Twins by Physical Education Teaching Practice in Visual Sensing Training System by Xinran Liu, Ji Jiang

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