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中国农业无人飞行器避障技术的应用与展望。

Applications and Prospects of Agricultural Unmanned Aerial Vehicle Obstacle Avoidance Technology in China.

机构信息

College of Engineering, South China Agricultural University, Guangzhou 510642, China.

National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology, Guangzhou 510641, China.

出版信息

Sensors (Basel). 2019 Feb 3;19(3):642. doi: 10.3390/s19030642.

Abstract

With the steady progress of China's agricultural modernization, the demand for agricultural machinery for production is widely growing. Agricultural unmanned aerial vehicles (UAVs) are becoming a new force in the field of precision agricultural aviation in China. In those agricultural areas where ground-based machinery have difficulties in executing farming operations, agricultural UAVs have shown obvious advantages. With the development of precision agricultural aviation technology, one of the inevitable trends is to realize autonomous identification of obstacles and real-time obstacle avoidance (OA) for agricultural UAVs. However, the complex farmland environment and changing obstacles both increase the complexity of OA research. The objective of this paper is to introduce the development of agricultural UAV OA technology in China. It classifies the farmland obstacles in two ways and puts forward the OA zones and related avoidance tactics, which helps to improve the safety of aviation operations. This paper presents a comparative analysis of domestic applications of agricultural UAV OA technology, features, hotspot and future research directions. The agricultural UAV OA technology of China is still at an early development stage and many barriers still need to be overcome.

摘要

随着中国农业现代化的稳步推进,对生产用农业机械的需求广泛增长。农业无人机(UAV)正在成为中国精准农业航空领域的新力量。在那些地面机械难以执行耕作作业的农业领域,农业无人机具有明显的优势。随着精准农业航空技术的发展,实现农业无人机自主识别障碍物和实时避障(OA)是必然趋势之一。然而,复杂的农田环境和不断变化的障碍物都增加了 OA 研究的复杂性。本文旨在介绍中国农业无人机 OA 技术的发展。它将农田障碍物分为两种方式,并提出了 OA 区域和相关避障策略,有助于提高航空作业的安全性。本文对国内农业无人机 OA 技术的应用、特点、热点和未来研究方向进行了对比分析。中国的农业无人机 OA 技术仍处于早期发展阶段,仍有许多障碍需要克服。

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