A Brief Survey on Bio-inspired Algorithms for Autonomous Landing

被引：5

作者：

Maitra, Amritesh ^{[1
]}

Prasath, Sri Ram ^{[1
]}

Padhi, Radhakant ^{[1
]}

机构：

[1] Indian Inst Sci, Dept Aerosp Engn, Bangalore 560012, Karnataka, India

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 01期

关键词：

Autonomous Vehicles; Trajectory Planning; Bio-Inspired Navigation and Guidance; Unmanned Aerial Vehicles; VISUAL CONTROL; VISION; FLIGHT;

D O I：

10.1016/j.ifacol.2016.03.088

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper briefly introduces a few bio-inspired algorithms which can be applied to autonomous landing for Unmanned Aerial Vehicles (UAVs). A number of vision based data acquisition methodologies used for UAV navigation and guidance are described. Monocular camera based vision data can be used to extract plethora of information about the dynamics of a target plane in landing problems and also about the pose of the camera itself. Some recent, developments in the areas of autonomous landing and perching based on vision data from monocular camera are introduced. Some possible relevant extensions are also provided. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：407 / 412

页数：6

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