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http://dx.doi.org/10.3745/KTSDE.2019.8.6.243

Detecting and Avoiding Dangerous Area for UAVs Using Public Big Data  

Park, Kyung Seok (첨단정보통신융합산업기술원)
Kim, Min Jun (한국정보화진흥원 AI데이터팀)
Kim, Sung Ho (경북대학교 컴퓨터학부)
Publication Information
KIPS Transactions on Software and Data Engineering / v.8, no.6, 2019 , pp. 243-250 More about this Journal
Abstract
Because of a moving UAV has a lot of potential/kinetic energy, if the UAV falls to the ground, it may have a lot of impact. Because this can lead to human casualities, in this paper, the population density area on the UAV flight path is defined as a dangerous area. The conventional UAV path flight was a passive form in which a UAV moved in accordance with a path preset by a user before the flight. Some UAVs include safety features such as a obstacle avoidance system during flight. Still, it is difficult to respond to changes in the real-time flight environment. Using public Big Data for UAV path flight can improve response to real-time flight environment changes by enabling detection of dangerous areas and avoidance of the areas. Therefore, in this paper, we propose a method to detect and avoid dangerous areas for UAVs by utilizing the Big Data collected in real-time. If the routh is designated according to the destination by the proposed method, the dangerous area is determined in real-time and the flight is made to the optimal bypass path. In further research, we will study ways to increase the quality satisfaction of the images acquired by flying under the avoidance flight plan.
Keywords
UAV; Big Data; Autopilot; Changes in Flight Environment; Dangerous Area;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Zhenyu Zhou, Caixia Gao, Chen Xu, Yan Zhang, Shahid Mumtaz, and Jonathan Rodriguez, "Social Big-Data-Based Content Dissemination in Internet of Vehicles," IEEE Transactions on Industrial Engineering, Vol.14, No.2, pp.768-777, 2018.   DOI
2 Kai Lin, Jiming Luo, Long Hu, M. Shamim Hossain, and Ahmed Ghoneim, "Localization Based on Social Big Data Analysis in the Vehicular Networks," IEEE Transactions on Industrial Engineering, Vol.13, No.4, pp.1932-1940, 2017.   DOI
3 S. J. Lee and D. H. Lee, "Real Time Predictive Analytic System Design and Implementation using Bigdata-log," Journal of the Korea Institute of Information Security & Cryptology, Vol.25, No.6, pp.1399-1410, 2015.   DOI
4 J. H. Lee, "Building an SNS Crawling System Using Python," Journal of the Korea Industrial Information Systems Research, Vol.23, No.5, pp.61-76, 2018.   DOI
5 R. Kune, P. K. Konugurthi, A. Agarwal, R. R. Chillarige, and R. Buyya, "The anatomy of Big Data Computing", Softw. Pract. Exper., Vol.46, No.1, pp.79-105, Jan. 2016.   DOI
6 G. George and D. Lavie, "Big Data and Data Science Methods for Management Research," Academy of Management Journal, Vol.59, No.5, pp.1493-1507, 2016.   DOI
7 D. M. Park, "Automated Time Series Content Analysis with News Big Data Analytics : Analyzing Sources and Quotes in One Million News Articles for 26 Years," Korean Journal of Journalism & Communication Studies, Vol.60, No.5, pp. 353-407, 2016.   DOI
8 J. H. Moon, J. W. Park, S. H. Han, and E. J. Hwang, "Power Consumption Forecasting Scheme for Educational Institutions Based on Analysis of Similar Time Series Data," Journal of KIISE, Vol.44, No.9, pp.954-965, 2017.   DOI
9 J. H. Kwak and Y. S. Sung, "Autonomous UAV Flight Control for GPS-Based Navigation," IEEE Transactions on Industrial Engineering, Vol.6, pp.37947-37955, 2018.
10 Y. Zeng, R. Zhang, and T. J. Lim, "Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges," IEEE Commun. Mag., Vol.54, No.5, pp.36-42, May 2016.   DOI
11 S. Zhang, Y. Zhou, Z. Li, and W. Pan, "Grey Wolf Optimizer for Unmanned Combat Aerial Vehicle Path Planning," Adv. Eng. Softw., Vol.99, pp.121-136, Sep. 2016.   DOI
12 V. Roberge, M. Tarbouchi, and G. Labonte, "Comparison of Parallel Genetic Algorithm and Particle Swarm Optimization for Real-time UAV Path Planning," IEEE Transactions on Industrial Engineering, Ind. Informat., Vol.9, No.1, pp.132-141, Feb. 2013.   DOI
13 M. Lungu, R. Lungu, and C. Rotaru, "New Systems for Identification Estimation and Adaptive Control of the Aircrafts Movement," Stud. Inform. Control, Vol.20, No.3, pp.273-284, 2011.
14 I. Lim and S. Ra, "Waypoints Altitude Planning for Terrain Collision Avoidance and Manueverability of an Unmanned Aerial Vehicle," The Journal of Korean Institute of Information Technolgy(JKIIT), Vol.16, No.9, pp.31-41, 2018.
15 N. Gageik, P. Benz, and S. Montenegro, "Obstacle Detection and Collision Avoidance for a UAV with Complementary Low-cost Sensors," IEEE Access, Vol.3, pp.599-609, 2015.   DOI
16 R. He, R. Wei, and Q. Zhang, "UAV Autonomous Collision Avoidance Approach," Automatika, Vol.58, No.2, pp.195-204, 2017.   DOI