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Guoray Cai and Yimu Pan
Room usage semantics in models of large indoor environments such as public buildings and business complex are critical in many practical applications, such as health and safety regulations, compliance, and emergency response. Existing models such as Indo...
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Ruoming Zhai, Jingui Zou, Yifeng He and Liyuan Meng
Point-based networks have been widely used in the semantic segmentation of point clouds owing to the powerful 3D convolution neural network (CNN) baseline. Most of the current methods resort to intermediate regular representations for reorganizing the st...
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Xuming Ge, Jingyuan Zhang, Bo Xu, Hao Shu and Min Chen
This paper proposes an efficient approach for the plane segmentation of indoor and corridor scenes. Specifically, the proposed method first uses voxels to pre-segment the scene and establishes the topological relationship between neighboring voxels. The ...
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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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Zhen Li, Xiaoming Zhang, Junxiang Tan and Hua Liu
Registration is essential for terrestrial LiDAR (light detection and ranging) scanning point clouds. The registration of indoor point clouds is especially challenging due to the occlusion and self-similarity of indoor structures. This paper proposes a 4 ...
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Lucía Díaz-Vilariño, Pawel Boguslawski, Kourosh Khoshelham and Henrique Lorenzo
With the rise of urban population, updated spatial information of indoor environments is needed in a growing number of applications. Navigational assistance for disabled or aged people, guidance for robots, augmented reality for gaming, and tourism or tr...
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Lei Xie, Ruisheng Wang, Zutao Ming and Dong Chen
The automatic modeling of as-built building interiors, known as indoor building reconstruction, is gaining increasing attention because of its widespread applications. With the development of sensors to acquire high-quality point clouds, a new modeling s...
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Angie Quijano, Flavio Prieto
Pág. 305 - 323
Abstract AuthorsDownloadsReferencesHow to Cite
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Fan Yang, You Li, Mingliang Che, Shihua Wang, Yingli Wang, Jiyi Zhang, Xinliang Cao and Chi Zhang
An increasing number of applications require the accurate 3D layout reconstruction of indoor environments. Various devices including laser scanners and color and depth (RGB-D) cameras can be used for this purpose and provide abundant and highly precise d...
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Junwei Chen, Yangze Liang, Zheng Xie, Shaofeng Wang and Zhao Xu
Building information models (BIMs) offer advantages, such as visualization and collaboration, making them widely used in the management of existing buildings. Currently, most BIMs for existing indoor spaces are manually created, consuming a significant a...
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Hriday Bavle, Jose Luis Sanchez-Lopez, Paloma De la Puente, Alejandro Rodriguez-Ramos, Carlos Sampedro and Pascual Campoy
This paper presents a fast and robust approach for estimating the flight altitude of multirotor Unmanned Aerial Vehicles (UAVs) using 3D point cloud sensors in cluttered, unstructured, and dynamic indoor environments. The objective is to present a flight...
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Hriday Bavle, Jose Luis Sanchez-Lopez, Paloma de la Puente, Alejandro Rodriguez-Ramos, Carlos Sampedro and Pascual Campoy
This paper presents a fast and robust approach for estimating the flight altitude of multirotor Unmanned Aerial Vehicles (UAVs) using 3D point cloud sensors in cluttered, unstructured, and dynamic indoor environments. The objective is to present a flight...
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