On-Board Target Virtualization Using Image Features for UAV Autonomous Tracking

This paper describes a proposal of solution for target visual loss in autonomous navigation of UAVs by using artificial. Tests of target maintenance and position recovery have been included along with the sequence of images that verify the method performance.

[1]  Wang Ying,et al.  Fast detecting moving objects in moving background using ORB feature matching , 2013, 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP).

[2]  Gary R. Bradski,et al.  ORB: An efficient alternative to SIFT or SURF , 2011, 2011 International Conference on Computer Vision.

[3]  Grzegorz Chmaj,et al.  Distributed Processing Applications for UAV/drones: A Survey , 2014, ICSEng.

[4]  Roger Clarke,et al.  Understanding the drone epidemic , 2014, Comput. Law Secur. Rev..

[5]  Suhad Lateef Al-khafaji,et al.  Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images , 2018, IEEE Transactions on Image Processing.

[6]  J. Arróspide,et al.  Video based vehicle detection and tracking for driver assistance systems , 2015 .

[7]  Cecilio Angulo,et al.  Pedestrian Detection for UAVs Using Cascade Classifiers and Saliency Maps , 2017, IWANN.

[8]  Wilbert G. Aguilar,et al.  3D Environment Mapping Using the Kinect V2 and Path Planning Based on RRT Algorithms , 2016 .

[9]  Xiaoqing Wang,et al.  An improved SIFT algorithm in the application of close-range Stereo image matching , 2016 .

[10]  G. Grenzdörffer,et al.  UAV BASED BRDF-MEASUREMENTS OF AGRICULTURAL SURFACES WITH PFIFFIKUS , 2012 .

[11]  Wilbert G. Aguilar,et al.  Obstacle Avoidance for Flight Safety on Unmanned Aerial Vehicles , 2017, IWANN.

[12]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[13]  Eric Royer,et al.  Vision-based robot localization based on the efficient matching of planar features , 2016, Machine Vision and Applications.

[14]  Dariel A. Islas Guzmán,et al.  Design of an Artificial Neural Network to Detect Obstacles on Highways through the Flight of an UAV , 2015, Res. Comput. Sci..

[15]  Cordelia Schmid,et al.  Aggregating local descriptors into a compact image representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[16]  Wilbert G. Aguilar,et al.  Developing of a Video-Based Model for UAV Autonomous Navigation , 2017 .

[17]  Wilbert G. Aguilar,et al.  Visual SLAM with a RGB-D Camera on a Quadrotor UAV Using on-Board Processing , 2017, IWANN.

[18]  Ye Zhu,et al.  Copy-move forgery detection based on scaled ORB , 2015, Multimedia Tools and Applications.

[19]  Alejandro Rituerto,et al.  Modeling the environment with egocentric vision systems , 2015 .

[20]  Ahmed Saber Soliman Sayem,et al.  Vision-Aided Navigation for Autonomous Vehicles Using Tracked Feature Points , 2016 .

[21]  Daniel Cremers,et al.  Accurate Figure Flying with a Quadrocopter Using Onboard Visual and Inertial Sensing , 2012 .

[22]  Antoni Grau,et al.  Vision-based SLAM system for MAVs in GPS-denied environments , 2017 .

[23]  Wilbert G. Aguilar,et al.  Real-Time 3D Modeling with a RGB-D Camera and On-Board Processing , 2017, AVR.

[24]  George Limnaios.  Current Usage of Unmanned Aircraft Systems (UAS) and Future Challenges: A Mission Oriented Simulator for UAS as a Tool for Design and Performance Evaluation , 2014 .

[25]  Farid Kendoul,et al.  Survey of advances in guidance, navigation, and control of unmanned rotorcraft systems , 2012, J. Field Robotics.

[26]  Konstantinos N. Topouzelis,et al.  Coastline Zones Identification and 3D Coastal Mapping Using UAV Spatial Data , 2016, ISPRS Int. J. Geo Inf..

[27]  Serge A. Wich,et al.  Location, location, location: considerations when using lightweight drones in challenging environments , 2018 .

[28]  Claudio Delrieux,et al.  Software de visión por computador en sistemas de monitoreo ambiental , 2012 .

[29]  Mostafa Hassanalian,et al.  Classifications, applications, and design challenges of drones: A review , 2017 .

[30]  William Lopez,et al.  Cascade Classifiers and Saliency Maps Based People Detection , 2017, AVR.

[31]  Wilbert G. Aguilar,et al.  RRT* GL Based Optimal Path Planning for Real-Time Navigation of UAVs , 2017, IWANN.

[32]  Daniel Cremers,et al.  Camera-based navigation of a low-cost quadrocopter , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[33]  S. Shankar Sastry,et al.  An Invitation to 3-D Vision: From Images to Geometric Models , 2003 .

[34]  Cecilio Angulo,et al.  Real-time video stabilization without phantom movements for micro aerial vehicles , 2014, EURASIP J. Image Video Process..

[35]  Andrea Adami,et al.  UAV-Based Photogrammetry and Integrated Technologies for Architectural Applications—Methodological Strategies for the After-Quake Survey of Vertical Structures in Mantua (Italy) , 2015, Sensors.

[36]  Laurent Kneip,et al.  Collaborative monocular SLAM with multiple Micro Aerial Vehicles , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[37]  Wilbert Geovanny Aguilar Castillo,et al.  Obstacle Avoidance Based-Visual Navigation for Micro Aerial Vehicles , 2017 .

[38]  Ali Ismail Awad,et al.  Image Feature Detectors and Descriptors , 2016 .

[39]  Fabio Remondino,et al.  UAV PHOTOGRAMMETRY FOR MAPPING AND 3D MODELING - CURRENT STATUS AND FUTURE PERSPECTIVES - , 2012 .

[40]  Wilbert G. Aguilar,et al.  On-Board Visual SLAM on a UGV Using a RGB-D Camera , 2017, ICIRA.

[41]  Cecilio Angulo,et al.  Real-Time Model-Based Video Stabilization for Microaerial Vehicles , 2015, Neural Processing Letters.