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Content Provider | IEEE Xplore Digital Library |
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Author | ChangSu Ha Dongjun Lee |
Copyright Year | 2013 |
Description | Author affiliation: Sch. of Mech. & Aerosp. Eng., Seoul Nat. Univ., Seoul, South Korea (ChangSu Ha; Dongjun Lee) |
Abstract | We present a novel vision-based teleoperation control framework for a team of an unmanned aerial vehicle (UAV) and an unmanned ground vehicle (UGV). Our control law allows a remote human user to teleoperate the team with some useful haptic feedback, while also ensuring the UAV-UGV coordination via the camera installed on the UAV (and seeing the UGV) and the velocity limitation of the UGV. For this, we first elucidate a geometric condition for the UAV and UGV velocities to ensure the UAV-UGV coordination by driving the image feature of the UGV to converge to a desired one on the image surface, while also guaranteeing that the UGV's velocity, which is often much slower than that of the UAV, is under a certain specified bound. The UAV is then tele-controlled to track the teleoperation command as close as possible, yet, only to the extent permissible by this geometric condition. Simulation is performed to illustrate the theory. |
Starting Page | 1465 |
Ending Page | 1470 |
File Size | 1173821 |
Page Count | 6 |
File Format | |
ISBN | 9781467356411 |
ISSN | 10504729 |
e-ISBN | 9781467356435 |
DOI | 10.1109/ICRA.2013.6630764 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-05-06 |
Publisher Place | Germany |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Vehicles Vehicle dynamics |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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