JOURNAL ARTICLE

Vision-based aerial tracking using intelligent excitation

Abstract

This paper proposes a new technique of intelligent excitation within an adaptive control architecture for aerial tracking using a visual sensor. The adaptive controller is capable of maintaining a relative position for a trailer aircraft with respect to a lead aircraft of unknown size. The only information about the lead aircraft can be deduced from the subtended angle in the image plane of the trailing aircraft. Neither the dimension of the lead aircraft, nor its velocity are assumed to be known to the follower. The control objective of maintaining a prespecified relative range is achieved via an intelligent excitation signal, the properties of which are analyzed in this paper. Simulations illustrate the theoretical results.

Keywords:
Controller (irrigation) Tracking (education) Computer science Position (finance) Control theory (sociology) Image plane SIGNAL (programming language) Range (aeronautics) Computer vision Adaptive control Artificial intelligence Engineering Control (management) Aerospace engineering Image (mathematics)

Metrics

25
Cited By
4.53
FWCI (Field Weighted Citation Impact)
9
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
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