2007 IEEE/RSJ International Conference on Intelligent Robots and Systems 2007
DOI: 10.1109/iros.2007.4399216
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Visual servoing of an airplane for auto-landing

Abstract: To cite this version:O. Bourquardez, François Chaumette. Visual servoing of an airplane for auto-landing. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'07, 2007, San Diego, CA, France. pp.1314-1319, 2007. Visual Servoing of an Airplane for Auto-LandingOdile Bourquardez and François Chaumette Abstract-In this paper, a visual servoing scheme is proposed to control an airplane during its landing. A linearized model of the airplane dynamics and decoupled visual features are used to b… Show more

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Cited by 50 publications
(28 citation statements)
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“…Consequently, δ 11 and δ 12 converge exponentially to zero (see (13)). Exponential convergence of the initial error δ to zero is guaranteed.…”
Section: Partitioned Controlmentioning
confidence: 98%
See 2 more Smart Citations
“…Consequently, δ 11 and δ 12 converge exponentially to zero (see (13)). Exponential convergence of the initial error δ to zero is guaranteed.…”
Section: Partitioned Controlmentioning
confidence: 98%
“…Deriving (12), recalling (10), (11), and substituting for (13), one obtainsL = −δ A A(q * 0 )Qυ (14) where A(q * 0 ) = sk(q * 0 ) + λq * 0 q * 0 . We define the following control input…”
Section: Partitioned Controlmentioning
confidence: 99%
See 1 more Smart Citation
“…Barber et al [4] proposed vision-based landing for small fixed-wing UAVs, where a visual marker is used to generate the roll and pitch commands to the flight controller. Bourquardez and Chaumette [5] introduced a visual servoing algorithm to control an airplane during landing. Visual features are used to build the landing control providing a linearized model of the airplane dynamics.…”
Section: Introductionmentioning
confidence: 99%
“…The typical needs in UAVs are autonomous safe landing or target hitting. In the first case, often the attitude is recovered by tracking targets placed on the landing strip [4], while in the second case the system looks for known natural terrestrial landmarks to match (e.g. roads, rivers, etc.)…”
Section: Introductionmentioning
confidence: 99%