scholarly journals REAL: Rapid Exploration with Active Loop-Closing toward Large-Scale 3D Mapping using UAVs

Author(s):  
Eungchang Mason Lee ◽  
Junho Choi ◽  
Hyungtae Lim ◽  
Hyun Myung
Keyword(s):  
2018 ◽  
Vol 105 ◽  
pp. 1-10 ◽  
Author(s):  
Jongmin Jeong ◽  
Tae Sung Yoon ◽  
Jin Bae Park
Keyword(s):  

Author(s):  
Xiaoxiao Zhu ◽  
Qixin Cao ◽  
Hiroshi Yokoi ◽  
Yinlai Jiang
Keyword(s):  

2016 ◽  
Vol 456 (4) ◽  
pp. 3610-3623 ◽  
Author(s):  
Melih Ozbek ◽  
Rupert A. C. Croft ◽  
Nishikanta Khandai

2020 ◽  
Vol 9 (7) ◽  
pp. 450
Author(s):  
Zhen Ye ◽  
Yusheng Xu ◽  
Rong Huang ◽  
Xiaohua Tong ◽  
Xin Li ◽  
...  

The semantic labeling of the urban area is an essential but challenging task for a wide variety of applications such as mapping, navigation, and monitoring. The rapid advance in Light Detection and Ranging (LiDAR) systems provides this task with a possible solution using 3D point clouds, which are accessible, affordable, accurate, and applicable. Among all types of platforms, the airborne platform with LiDAR can serve as an efficient and effective tool for large-scale 3D mapping in the urban area. Against this background, a large number of algorithms and methods have been developed to fully explore the potential of 3D point clouds. However, the creation of publicly accessible large-scale annotated datasets, which are critical for assessing the performance of the developed algorithms and methods, is still at an early age. In this work, we present a large-scale aerial LiDAR point cloud dataset acquired in a highly-dense and complex urban area for the evaluation of semantic labeling methods. This dataset covers an urban area with highly-dense buildings of approximately 1 km2 and includes more than three million points with five classes of objects labeled. Moreover, experiments are carried out with the results from several baseline methods, demonstrating the feasibility and capability of the dataset serving as a benchmark for assessing semantic labeling methods.


Author(s):  
R. van Son ◽  
S. W. Jaw ◽  
J. Yan ◽  
V. Khoo ◽  
R. Loo ◽  
...  

<p><strong>Abstract.</strong> To optimise the use of limited available land, land-scarce cities such as Singapore are increasingly looking towards the underground in search of more space. A good understanding of what already exists underground is essential for the planning of underground spaces. In particular, utility services make up a significant part of what exists underground. To meet planning needs, the Singapore government has initiated efforts towards bringing records of existing utility networks together in a single database and share its contents to support planning, design, and construction of underground developments. However, these records can not be relied on to support these critical processes: They are not guaranteed to represent today’s state of the underground, are not accurate or of unknown accuracy, are inconsistently modelled, and may indicate as-design information instead of as-built information. This lack of reliability leads to an increase in cost and a loss in efficiency caused by the need to repeatedly survey to locate existing utility services on-site, and can have potentially disastrous outcomes when an excavation would damage existing services. Technological advances in utility surveying and mapping devices such as Ground Penetrating Radar (GPR) and gyroscopic pipeline mapping devices offer the potential of accurately mapping utilities in three dimensions (3D) at a large scale and high speed. However, a better understanding of the benefits and limitations of these technologies in a practical context is needed, as well as their suitability for mapping to support applications such as urban planning and land administration. The Digital Underground project is a collaboration between Singapore-ETH Centre, Singapore Land Authority and the City of Zürich that aims to develop a roadmap towards a reliable 3D utility map of Singapore. To enable the development of utility mapping standards and guidelines, the 3D mapping workflow for underground utilities is studied extensively based on market research, literature study, and case studies. This work presents the beginnings of a framework for 3D mapping of underground utilities as one of the initial results of the Digital Underground project as it is in progress. From these experiences, it can be concluded that, together with existing data, data captured using various surveying methods can indeed contribute to the establishment and maintenance of a consolidated and reliable utility map. To this end, a multi-sensor, multi-data 3D mapping workflow is proposed to integrate data captured using different surveying techniques during different moments in the development lifecycle of utilities. Based on this framework, this work also identifies areas for improvement and critical gaps to be bridged that will ultimately form part of the roadmap.</p>


2018 ◽  
Vol 10 (8) ◽  
pp. 1269 ◽  
Author(s):  
Pengcheng Zhao ◽  
Qingwu Hu ◽  
Shaohua Wang ◽  
Mingyao Ai ◽  
Qingzhou Mao

High-precision indoor three-dimensional maps are a prerequisite for building information models, indoor location-based services, etc., but the indoor mapping solution is still in the stage of technological experiment and application scenario development. In this paper, indoor mapping equipment integrating a three-axis laser scanner and panoramic camera is designed, and the corresponding workflow and critical technologies are described. First, hardware design and software for controlling the operations and calibration of the spatial relationship between sensors are completed. Then, the trajectory of the carrier is evaluated by a simultaneous location and mapping framework, which includes reckoning of the real-time position and attitude of the carrier by a filter fusing the horizontally placed laser scanner data and inertial measurement data, as well as the global optimization by a closed-loop adjustment using a graph optimization algorithm. Finally, the 3D point clouds and panoramic images of the scene are reconstructed from two tilt-mounted laser scanners and the panoramic camera by synchronization of the position and attitude of the carrier. The experiment was carried out in a five-story library using the proposed prototype system; the results demonstrate accuracies of up to 3 cm for 2D maps, and up to 5 cm for 3D maps, and the produced point clouds and panoramic images can be utilized for modeling and further works related to large-scale indoor scenes. Therefore, the proposed system is an efficient and accurate solution for indoor 3D mapping.


Automatika ◽  
2011 ◽  
Vol 52 (3) ◽  
pp. 199-222 ◽  
Author(s):  
Jochen Sprickerhof ◽  
Andreas Nüchter ◽  
Kai Lingemann ◽  
Joachim Hertzberg
Keyword(s):  

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