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S Saripalli, JF Montgomery, GS Sukhatme, "Visually guided landing of an unmanned aerial vehicle," IEEE transactions on robotics and automation 19 (3), 371-380. L Mejias, S Saripalli, P Campoy, GS Sukhatme," Visual servoing of an autonomous helicopter in urban areas using feature tracking," Journal of Field Robotics
Visually guided landing of an unmanned aerial vehicle. S Saripalli, JF Montgomery, GS Sukhatme. IEEE transactions on robotics and automation 19 (3), 371-380, 2003. 519, 2003. Vision-based autonomous landing of an unmanned aerial vehicle. S Saripalli, JF Montgomery, GS Sukhatme. Robotics and automation, 2002.
Abstract—We present the design and implementation of a real- time, vision-based landing algorithm for an autonomous helicopter. The landing algorithm is integrated with algorithms for visual ac- quisition of the target (a helipad) and navigation to the target, from an arbitrary initial position and orientation. We use vision for
Jun 1, 2017 This paper presents a methodology aimed to acquire traffic flow data through the employment of unmanned aerial vehicles (UAVs). .. for autonomous landing of UAVs that uses vision-based pose estimation relative to a planar landing target and vision-based landing of an aerial vehicle on a moving deck.
terrain to unmanned aerial vehicles. This paper the first autonomous landing of an unmanned helicopter in unknown and Amidi et al. [1] present a visual odometer to estimate the position and velocity of a helicopter by visually locking on to and tracking ground features. Attitude information is provided by a set of.
The overall aim of present work is to develop a considerable robust and simple method for the estimation of the relative position of an unmanned aerial vehicle (UAV) with respect to a runway and automatic landing of UAV based on camera images. Various automatic landing systems based on INS, GPS, ILS and tracking
Abstract— We present the design and implementation of a real-time, vision-based landing algorithm for an autonomous helicopter. The landing algorithm is integrated with algo- rithms for visual acquisition of the target (a helipad) and navigation to the target from an arbitrary initial position and orientation. We use vision for
His research interests include control of unmanned aerial vehicles, vision based control, visual servoing and control of complex hybrid systems. Before coming to ASU he was a Member of Technical Staff in the Mobility and Robotics Section at NASA/JPL. Srikanth received his B.Tech in mechanical engineering from Birla
Abstract—This paper is concerned with the problem of au- tonomously landing an unmanned aerial vehicle (UAV) on a stationary platform. Our solution consists of two parts, a sensor fusion framework producing estimates of the UAV state and a control system that computes appropriate actuator commands. There are three
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