Survey on path and view planning for UAVs
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Xiaohui Zhou | Hui Huang | Kai Huang | Yilin Liu | Zimu Yi | Hui Huang | Zimu Yi | Yilin Liu | Xiao-hong Zhou | Kai Huang
[1] Wen-Hua Chen,et al. Boustrophedon coverage path planning for UAV aerial surveys in wind , 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).
[2] Jiang Li,et al. A Vision-Based Automatic Safe Landing-Site Detection System , 2013, IEEE Transactions on Aerospace and Electronic Systems.
[3] Simon Lacroix,et al. Autonomous Detection of Safe Landing Areas for an UAV from Monocular Images , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[4] Rahul Sukthankar,et al. Cognitive Mapping and Planning for Visual Navigation , 2017, International Journal of Computer Vision.
[5] Simon Fuhrmann,et al. MVE - An image-based reconstruction environment , 2015, Comput. Graph..
[6] Kam K. Leang,et al. Autonomous Chemical-Sensing Aerial Robot for Urban/Suburban Environmental Monitoring , 2019, IEEE Systems Journal.
[7] Rémi Ronfard,et al. The Prose Storyboard Language: A Tool for Annotating and Directing Movies , 2015, FDG 2015.
[8] S. LaValle. Rapidly-exploring random trees : a new tool for path planning , 1998 .
[9] Wolfram Burgard,et al. OctoMap: an efficient probabilistic 3D mapping framework based on octrees , 2013, Autonomous Robots.
[10] Rongjun Qin. Analysis of critical parameters of satellite stereo image for 3D reconstruction and mapping , 2019, ArXiv.
[11] Yahya H. Zweiri,et al. Guided Next Best View for 3D Reconstruction of Large Complex Structures , 2019, Remote. Sens..
[12] Rongjun Qin,et al. RPC STEREO PROCESSOR (RSP) – A SOFTWARE PACKAGE FOR DIGITAL SURFACE MODEL AND ORTHOPHOTO GENERATION FROM SATELLITE STEREO IMAGERY , 2016 .
[13] Christos Papachristos,et al. Autonomous exploration and simultaneous object search using aerial robots , 2018, 2018 IEEE Aerospace Conference.
[14] Shaojie Shen,et al. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator , 2017, IEEE Transactions on Robotics.
[15] Alexander Domahidi,et al. Real-time planning for automated multi-view drone cinematography , 2017, ACM Trans. Graph..
[16] Jan-Michael Frahm,et al. Structure-from-Motion Revisited , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Andreas Krause,et al. Submodular Function Maximization , 2014, Tractability.
[18] Dani Lischinski,et al. Creating and chaining camera moves for quadrotor videography , 2018, ACM Trans. Graph..
[19] Rolf Findeisen,et al. Model predictive path-following for constrained nonlinear systems , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[20] Luis Enrique Sucar,et al. Supervised Learning of the Next-Best-View for 3D Object Reconstruction , 2019, Pattern Recognit. Lett..
[21] Christos Papachristos,et al. Uncertainty-aware receding horizon exploration and mapping using aerial robots , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[22] Davide Scaramuzza,et al. REMODE: Probabilistic, monocular dense reconstruction in real time , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[23] J. Gong,et al. 3D Building Model Reconstruction from Multi-view Aerial Imagery and Lidar Data , 2011 .
[24] Ali Farhadi,et al. Target-driven visual navigation in indoor scenes using deep reinforcement learning , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[25] Hao Yang,et al. Uncut Aerial Video via a Single Sketch , 2018, Comput. Graph. Forum.
[26] Roland Siegwart,et al. Receding horizon path planning for 3D exploration and surface inspection , 2018, Auton. Robots.
[27] Otmar Hilliges,et al. Optimizing for aesthetically pleasing quadrotor camera motion , 2018, ACM Trans. Graph..
[28] Roland Siegwart,et al. An Efficient Sampling-Based Method for Online Informative Path Planning in Unknown Environments , 2020, IEEE Robotics and Automation Letters.
[29] Roland Siegwart,et al. Learning to Predict the Wind for Safe Aerial Vehicle Planning , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[30] Pat Hanrahan,et al. An interactive tool for designing quadrotor camera shots , 2015, ACM Trans. Graph..
[31] Juan D. Tardós,et al. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras , 2016, IEEE Transactions on Robotics.
[32] Flavio Fontana,et al. Continuous on-board monocular-vision-based elevation mapping applied to autonomous landing of micro aerial vehicles , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[33] Geoffrey A. Hollinger,et al. Multi-UAV exploration with limited communication and battery , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[34] Pierre Feyzeau,et al. Path planning: A 2013 survey , 2013, Proceedings of 2013 International Conference on Industrial Engineering and Systems Management (IESM).
[35] Roland Siegwart,et al. Safe Local Exploration for Replanning in Cluttered Unknown Environments for Microaerial Vehicles , 2017, IEEE Robotics and Automation Letters.
[36] Marc Christie,et al. Directing Cinematographic Drones , 2017, ACM Trans. Graph..
[37] J. M. M. Montiel,et al. ORB-SLAM: A Versatile and Accurate Monocular SLAM System , 2015, IEEE Transactions on Robotics.
[38] Andrew E. Johnson,et al. Lidar-Based Hazard Avoidance for Safe Landing on Mars , 2002 .
[39] Pat Hanrahan,et al. Submodular Trajectory Optimization for Aerial 3D Scanning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[40] Silvio Savarese,et al. A Behavioral Approach to Visual Navigation with Graph Localization Networks , 2019, Robotics: Science and Systems.
[41] Otmar Hilliges,et al. WYFIWYG: Investigating Effective User Support in Aerial Videography , 2018, ArXiv.
[42] Pat Hanrahan,et al. Towards a Drone Cinematographer: Guiding Quadrotor Cameras using Visual Composition Principles , 2016, ArXiv.
[43] Danping Zou,et al. Active Image-Based Modeling with a Toy Drone , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[44] Pat Hanrahan,et al. Generating dynamically feasible trajectories for quadrotor cameras , 2016, ACM Trans. Graph..
[45] Yukinori Kobayashi,et al. Autonomous Mapping and Exploration with Unmanned Aerial Vehicles Using Low Cost Sensors , 2018, Proceedings.
[46] Roland Siegwart,et al. Free LSD: Prior-Free Visual Landing Site Detection for Autonomous Planes , 2018, IEEE Robotics and Automation Letters.
[47] Roland Siegwart,et al. SFly: Swarm of micro flying robots , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[48] Nathan Michael,et al. Vision-based Landing Site Evaluation and Trajectory Generation Toward Rooftop Landing , 2014, Robotics: Science and Systems.
[49] Vijay Kumar,et al. Minimum snap trajectory generation and control for quadrotors , 2011, 2011 IEEE International Conference on Robotics and Automation.
[50] Koren,et al. Real-Time Obstacle Avoidance for Fast Mobile Robots , 2022 .
[51] Daniel G. Aliaga,et al. A Survey of Urban Reconstruction , 2013, Comput. Graph. Forum.
[52] Filip Biljecki,et al. Applications of 3D City Models: State of the Art Review , 2015, ISPRS Int. J. Geo Inf..
[53] Emil Slusanschi,et al. SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data , 2018, ECCV Workshops.
[54] Titus Cieslewski,et al. Rapid exploration with multi-rotors: A frontier selection method for high speed flight , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[55] Roland Siegwart,et al. Receding Horizon "Next-Best-View" Planner for 3D Exploration , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[56] Daniel Cremers,et al. Direct Sparse Odometry , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[57] Dani Lischinski,et al. Trip Synopsis: 60km in 60sec , 2016, Comput. Graph. Forum.
[58] Charles Richter,et al. Polynomial Trajectory Planning for Aggressive Quadrotor Flight in Dense Indoor Environments , 2016, ISRR.
[59] Fredrik Heintz,et al. Efficient Autonomous Exploration Planning of Large-Scale 3-D Environments , 2019, IEEE Robotics and Automation Letters.
[60] Ramakant Nevatia,et al. Symbolic Navigation with a Generic Map , 1999, Auton. Robots.
[61] Quentin Galvane,et al. Automated Cinematography with Unmanned Aerial Vehicles , 2016, WICED@Eurographics.
[62] Xu Liu,et al. Planetary landing site detection and selection using multilevel optimization strategy , 2019, Acta Astronautica.
[63] Wen-Hua Chen,et al. Optimal Polygon Decomposition for UAV Survey Coverage Path Planning in Wind , 2018, Sensors.
[64] Ioannis Pitas,et al. Challenges in Autonomous UAV Cinematography: An Overview , 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).
[65] Otmar Hilliges,et al. Airways: Optimization-Based Planning of Quadrotor Trajectories according to High-Level User Goals , 2016, CHI.
[66] Michael Goesele,et al. Aerial path planning for urban scene reconstruction , 2018, ACM Trans. Graph..
[67] Vladlen Koltun,et al. Benchmarking Classic and Learned Navigation in Complex 3D Environments , 2019, ArXiv.
[68] Anibal Ollero,et al. Autonomous Cinematography with Teams of Drones , 2019 .
[69] Sebastian Scherer,et al. Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments , 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[70] Sebastian Scherer,et al. 3D Convolutional Neural Networks for landing zone detection from LiDAR , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).