Autonomous Drone Navigation in the hallway using Convolution Neural Network |
Jo, Jeong Won
(School of Computer Inf. & Comm., Kunsan National University)
Lee, Min Hye (School of Computer Inf. & Comm., Kunsan National University) Nam, Kwang Woo (School of Computer Inf. & Comm., Kunsan National University) Lee, Chang Woo (School of Computer Inf. & Comm., Kunsan National University) |
1 | S. W. Lim, S. M. Cho, G. M. Park, "Integrated Video Analytics for Drone Captured Video", Journal of Broadcast Engineering, vol. 24, no. 2, March, 2019. |
2 | H. D. Yoo, "Drone-delivery Using Autonomous Mobility: An Innovative Approach to Future Last-mile Delivery Problems", in Proceeding of 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Thailand, 2018 |
3 | N. Smolyanskiy, A. Kamenev, J. Smith, S. Birchfield, "Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness", in Proceeding of 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS), pp.4241-4247, 2017 |
4 | A. Giusti, J. Guzzi, D. C. Ciresan, F.- L. He, J. P. Rodriguez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di Caro, D. Scaramuzza, L. M. Gambardella. "A machine learning approach to visual perception of forest trails for mobile robot", 2015 |
5 | Dhiraj Gandhi, Lerrel Pinto and Abhinav Gupta, "Learning to Fly by Crashing", in Proceeding of 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Canada, 2017 |
6 | K. He, X. Zhang, S. Ren, J. Sun, "Deep Residual Learning for Image Recognition", in Proceeding of 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), USA, 2016 |
7 | D. W. Kim, W. J. Kang, Y. P. Koo, J. H. Bang, K. H. Son, Hostallero David,, S. E. Yoon, H. H. Yeo, J. H. Ha, N. S. Seo, D. S. Han, Y. Yi, "AI-Based Drone Object Tracking System: Design and Implementation", Journal of Korea Institute of Communication and Information Sciences, vol. 42, No. 12, pp. 2391-2401, December, 2017 DOI |
8 | H. J. Lee, S. S. Hwang, "Obstacle Avoidance Algorithm for Indoor Autonomous Drone Using IR Sensor and Forward Image Information", Journal of Institute of Control, Robotics and Systems, vol.23, no. 9, pp. 803-809, September, 2017 DOI |
9 | J. Y. Yang, "Development of Reinforcement Learningbased Obstacle Avoidance toward Autonomous Mobile Robots for an Industrial Environment", Journal of the Korea Contents Association, vol. 19, no. 3, pp. 72-79, March, 2019. DOI |
10 | A. R. Song, Y. G. Kim, "Deep Learning-based Hyper -spectral Image Classification with Application to Environmental Geographic Information Systems", Journal of the Korean Society of Remote Sensing, vol. 33, no. 6-2, pp. 1061-1073, December, 2017. |
11 | pypi, afg984 [Internet], Available: https://pypi.org/project/pyardrone |
12 | OpenCV [Internet], Available: https://opencv.org/ |
13 | tensorflow [Internet], Available: https://www.tensorflow.org/?hl=ko |
14 | Parrot [Internet], Available https://www.parrot.com/global/drones/parrot-ardrone-20-elite-edition#parrot-ardrone-20-elite-edition |