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REFERENCES

1 
Prasad P. R., et al. , 2018, Monocular vision aided autonomous UAV navigation in indoor corridor environments., IEEE Transactions on Sustainable Computing, Vol. 4, No. 1, pp. 96-108DOI
2 
Lu Y., et al. , 2018, A survey on vision-based UAV navigation., Geo-spatial information science, Vol. 21, No. 1, pp. 21-32DOI
3 
Ilyas M., et al. , Jul 2018, Design of sTetro: A Modular, Reconfigurable, and Autonomous Staircase Cleaning Robot, Journal of Sensors, Vol. 2018, pp. 16DOI
4 
Gao X., et al. , 2017, Dynamics and stability analysis on stairs climbing of wheel-track mobile robot, International Journal of Advanced Robotic Systems, Vol. 14, No. 4, pp. 1729881417720783DOI
5 
Israelsen J., et al. , 2014, Automatic collision avoidance for manually tele-operated unmanned aerial vehicles., In 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 6638-6643DOI
6 
Chnibo L., et al. , 2013, UAV position estimation and collision avoidance using the extended Kalman filter., IEEE Transactions on Vehicular Technology, Vol. 62, No. 6, pp. 2749-2762DOI
7 
Cui J., et al. , 2016, Autonomous navigation of UAV in foliage environment., Journal of intelligent & robotic systems, Vol. 84, No. 1, pp. 259-276DOI
8 
Huizhong Z., et al. , 2015, StructSLAM: Visual SLAM with building structure lines., IEEE Transactions on Vehicular Technology, Vol. 64, No. 4, pp. 1364-1375DOI
9 
Oguz A. E., et al. , June 2014, On the consistency analysis of A-SLAM for UAV navigation., Proc. SPIE 9084, Unmanned Systems Technology XVI, Vol. 9084, pp. 90840RDOI
10 
Ross S., et all. , 2013, Learning monocular reactive uav control in cluttered natural environments., In 2013 IEEE international conference on robotics and automation, pp. 1765-1772DOI
11 
Fraust A., et all. , 2017, Automated aerial suspended cargo delivery through reinforcement learning., Artificial Intelligence, Vol. 247, pp. 381-398DOI
12 
Imanberdiyev N., et all. , 2016, Autonomous navigation of UAV by using real-time model-based reinforcement learning., In 2016 14th international conference on control, automation, robotics and vision (ICARCV), pp. 1-6DOI
13 
Sturm B. L., et al. , 2019, Machine learning research that matters for music creation: A case study, Journal of New Music Research, Vol. 48, No. 1, pp. 36-55DOI
14 
Raharjo J., et al. , Nov 2019, Cholesterol level measurement through iris image using gray level co-occurrence matrix and linear regression, ARPN Journal of Engineering and Applied Sciences, Vol. 14, No. 21, pp. 3757-3763URL
15 
Zhang Y., et al. , Jan 2020, Machine learning based video coding optimizations: A survey., Information Sciences, Vol. 506, pp. 395-423DOI
16 
Heidari M., et al. , Sep 2020, Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms, International journal of medical informatics, Vol. 144, pp. 104284DOI
17 
Hassan S. A., et al. , Oct. 2019, Real-time uav detection based on deep learning network, In 2019 International Conference on Information and Communication Technology Convergence, pp. 630-632DOI
18 
Redmon J., et al. , 2016, You only look once: Unified, real-time object detection, In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 779-788URL
19 
Mellinger D., et al. , 2011, Minimum snap trajectory generation and control for quadrotors, In 2011 IEEE international conference on robotics and automation, pp. 2520-2525DOI
20 
Mellinger D., et al. , Jan. 2012, Trajectory generation and control for precise aggressive maneuvers with quadrotors, The International Journal of Robotics Research, Vol. 31, No. 5, pp. 664-674DOI
21 
Checchin P., et al. , 2010, Radar scan matching slam using the fourier-mellin transform, In Field and Service Robotics, Vol. 62, pp. 151-161DOI
22 
Engel J., et al. , 2014, LSD-SLAM: Large-scale direct monocular SLAM, In European conference on computer vision, Vol. 8690, pp. 834-849DOI
23 
Mei C., et al. , Jun. 2011, RSLAM: A system for large-scale mapping in constant-time using stereo, International journal of computer vision, Vol. 94, No. 2, pp. 198-214DOI
24 
M uller M., et al. , Sep. 2011, Quadrocopter ball juggling, in 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5113-5120DOI
25 
Huang A. S., et al. , Aug. 2011, Visual odometry and mapping for autonomous flight using an RGB-D camera, Robotics Research., Vol. 100, pp. 235-252DOI
26 
Roberts J. F., et al. , Sep. 2007, Quadrotor using minimal sensing for autonomous indoor flight, In European Micro Air Vehicle Conference and Flight Competition (EMAV2007)URL
27 
Bry A., et al. , May. 2012, State estimation for aggressive flight in GPS-denied environments using onboard sensing, In 2012 IEEE International Conference on Robotics and Automation, pp. 1-8DOI
28 
Bachrach A., et al. , Dec. 2009, Autonomous flight in unknown indoor environments, International Journal of Micro Air Vehicles, Vol. 1, No. 4, pp. 217-228DOI
29 
Achtelik M., et al. , 2011, Onboard IMU and monocular vision based control for MAVs in unknown in-and outdoor environments., 2011 IEEE International Conference on Robotics and Automation, pp. 3056-3063DOI
30 
Blösch M., et al. , 2010, Vision based MAV navigation in unknown and unstructured environments., 2010 IEEE International Conference on Robotics and Automation, pp. 21-28DOI
31 
Nützi G., et al. , Nov. 2011, Fusion of IMU and vision for absolute scale estimation in monocular SLAM., Journal of intelligent & robotic systems, Vol. 61, No. 1, pp. 287-299DOI
32 
Weiss S., et al. , 2012, Versatile distributed pose estimation and sensor self-calibration for an autonomous MAV, In 2012 IEEE International Conference on Robotics and Automation, pp. 31-38DOI
33 
Rahim T., et al. , 2021, A Deep Convolutional Neural Network for the Detection of Polyps in Colonoscopy Images, Biomedical Signal Processing and Control, Vol. 68 102654DOI