3D Indoor Mapping System Using 2D LiDAR Sensor for Drones
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2018-10-02 https://doi.org/10.14419/ijet.v7i4.11.20797
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3D mapping, LiDAR, 2D sensor, indoor, drone. -
Abstract
Most 3D scanners are heavy, bulky and costly. These are the major factors that make them irrelevant to be attached to a drone for autonomous navigation. With modern technologies, it is possible to design a simple 3D scanner for autonomous navigation. The objective of this study is to design a cost effective 3D indoor mapping system using a 2D light detection and ranging (LiDAR) sensor for a drone. This simple 3D scanner is realised using a LiDAR sensor together with two servo motors to create the azimuth and elevation axes. An Arduino Uno is used as the interface between the scanner and computer for the real-time communication via serial port. In addition, an open source Point-Cloud Tool software is used to test and view the 3D scanner data. To study the accuracy and efficiency of the system, the LiDAR sensor data from the scanner is obtained in real-time in point-cloud form. The experimental results proved that the proposed system can perform the 2D and 3D scans with tolerable performance.
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References
[1] Juan Li, Xiang He, Jia Li, 2015. 2D LiDAR and camera fusion in 3D modelling of indoor environment. Proceedings of the IEEE National Aerospace and Electronics Conference, pp. 379-383.
[2] G. Tognola, M. Parazzini, P. Ravazzani, F. Grandori, and C. Svelto, 2003. 3D Acquisition and quantitative measurements ofanatomical parts by optical scanning and image reconstruction from unorganized range data. IEEE Trans. Instrum. Meas., 52(5), 1665-1673.
[3] Abdelhafiz, A., 2009. Integrating digital photogrammetry and terrestrial laser scanning, Phd thesis, Technical University Braunschweig.
[4] Austin Meyers, 2015. PulsedLight 3D scanner: Point-cloud tool. https://github.com/PulsedLight3D/PulsedLight3dScanner
[5] Cracknell, Arthur P., Hayes, Ladson, 2007. Introduction to remote sensing. Taylor and Francis.
[6] Du Jianhao, Liu Meiqin & Sheng Weihua. 2015. Efficient exploration for real-time robot indoor 3D mapping. Proceedings of the IEEE 34th Chinese Control Conference, pp. 6078-6083.
[7] Duong, E., Shi, L., Ward, E., Patel, S., & Sridhar, A. LiDAR Based Home Mapping: Using the OSLRF-01 and Arduino to Generate Floor Plans, https://pdfs.semanticscholar.org/353b/0e2130e0afdf54b0118971374c207f81f0af.pdf.
[8] Guyue Zhou, Zexiang Li. 2014. An embedded solution to visual mapping for consumer drones. Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 656-661.
[9] Jorge L. Mart´ınez, Jes´us Morales, Antonio J. Reina, Anthony Mandow, Alejandro Peque˜no-Boter & Alfonso Garc´ıa-Cerezo. 2015. Construction and calibration of a low-Cost 3D laser scanner with 360◦ field of view for mobile robots. Proceeding of the IEEE International Conference on Industrial Technology, pp. 149-154.
[10] Markus Achtelik, Tianguang Zhang, Kolja K¨uhnlenz & Martin Buss. 2009. Visual tracking and control of a quadcopter using a stereo camera system and inertial sensors. Proceeding of the IEEE International Conference on Mechatronics and Automation, pp. 2863-2869.
[11] Martial Sanfourche, Bertrand Le Saux, Aur´elien Plyer & Guy Le Besnerais. 2015. Environment mapping and interpretation by drone. Proceeding of the IEEE Joint Urban Remote Sensing Event, pp. 1-4.
[12] Mostafa Abdel-Bary Ebrahim, 2011. 3D laser scanners: History, applications and future. Lambert Academic Publishing.
[13] Laksono Kurnianggoro, Van-Dung Hoang & Kang-Hyun Jo. 2009. Calibration of a 2D laser scanner system and rotating platform using a point-plane constraint. Computer Science and Information Systems, 12(1), 307–322.
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How to Cite
R. Shahrin, M., H. Hashim, F., M.D.W. Zaki, W., Hussain, A., & T. Raj, T. (2018). 3D Indoor Mapping System Using 2D LiDAR Sensor for Drones. International Journal of Engineering & Technology, 7(4.11), 179-183. https://doi.org/10.14419/ijet.v7i4.11.20797Received date: 2018-10-02
Accepted date: 2018-10-02
Published date: 2018-10-02