A vision system for landing an unmanned aerial vehicle

By Courtney S. Sharp, Omid Shakernia, S. Sastry. Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), 2001

381 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/5eff2dfb1e2dc775a90c34c5a13337a386e5d7f6

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In Aerospace Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

Opportunities and challenges with autonomous micro aerial vehicles (2012, background): “Although in open outdoor domains, this problem is seemingly solved with onboard GPS, IMU, camera, and LIDAR sensors (Sharp et al., 2001; Saripalli et al., 2002; Scherer et al., 2007), indoor domains and cluttered outdoor environments still pose a considerable challenge.”
Control of a Quadrotor Helicopter Using Dual Camera Visual Feedback (2005, methodology): “KEY WORDS—helicopter control, pose estimation, unmanned aerial vehicle, vision-based control”
Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives (2016, methodology): “Using aerial imagery, the works [124]–[127] describe landing approach by the experiment and introduce a design and implementation of a real time vision-based algorithm.”
Visually guided landing of an unmanned aerial vehicle (2003, background): “In [12] a real time computer vision system is presented for tracking a landing target but no autonomous landing was reported.”
Vision-based autonomous landing of an unmanned aerial vehicle (2002, background): “In [5] a real time computer vision system is presented for tracking a landing target but no autonomous landing was reported.”
Landing a VTOL Unmanned Aerial Vehicle on a Moving Platform Using Optical Flow (2012, methodology): “Autonomous landing of UAV on moving platforms has been investigated using a model of the vertical motion of landing platform [2], [3], a tether guide [4], or known target motion [5], [6].”
Vision-based autonomous quadrotor landing on a moving platform (2017, methodology): “Nevertheless, solutions for detecting the target based on motion-capture systems [4], or other sensors (e.g., GPS [9]) are available in the literature.”
Vision-Based Pose Estimation From Points With Unknown Correspondences (2014, background): “Figure 1(a) shows an artificial mark designed for visual navigation [8].”