Analyzing visual imagery for emergency drone landing on unknown environments

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-01-01 DOI:10.1177/17568293221106492

O. Bektash, J. Naundrup, A. la Cour-Harbo

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引用次数: 3

Abstract

Autonomous landing is a fundamental aspect of drone operations which is being focused upon by the industry, with ever-increasing demands on safety. As the drones are likely to become indispensable vehicles in near future, they are expected to succeed in automatically recognizing a landing spot from the nearby points, maneuvering toward it, and ultimately, performing a safe landing. Accordingly, this paper investigates the idea of vision-based location detection on the ground for an automated emergency response system which can continuously monitor the environment and spot safe places when needed. A convolutional neural network which learns from image-based feature representation at multiple scales is introduced. The model takes the ground images, assign significance to various aspects in them and recognize the landing spots. The results provided support for the model, with accurate classification of ground image according to their visual content. They also demonstrate the feasibility of computationally inexpensive implementation of the model on a small computer that can be easily embedded on a drone.

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无人机紧急降落在未知环境中的视觉图像分析

自主着陆是无人机操作的一个基本方面，该行业正在关注这一点，对安全的要求越来越高。由于无人机很可能在不久的将来成为不可或缺的交通工具，预计它们将成功地从附近的点自动识别着陆点，朝着它机动，并最终实现安全着陆。因此，本文研究了基于视觉的地面位置检测的思想，用于自动应急响应系统，该系统可以连续监测环境并在需要时发现安全地点。介绍了一种从多尺度的基于图像的特征表示中学习的卷积神经网络。该模型拍摄地面图像，对图像中的各个方面赋予意义，并识别着陆点。结果为该模型提供了支持，根据地面图像的视觉内容对其进行了准确的分类。他们还证明了在小型计算机上实现该模型的可行性，该计算机可以很容易地嵌入无人机。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.