基于视觉识别技术的无人机抓取功能研究
Research on UAV grasping function based on visual recognition technology
柴源1
作者信息
- 1. 集美工业学校,福建 厦门 361000
- 折叠
摘要
传统的多旋翼无人机搭载的机械爪设备工作大多采用遥感数据和操作员输入的相对低级控制方法,降低了在复杂任务中的适用性.将先进的视觉技术应用于无人机机械爪设备,能够实现实时环境感知和对象识别,提高无人机机械爪设备的精确性和自主性.文章搭建飞行平台,设计抓取策略并通过试验初步证实,视觉识别技术支撑下无人机机械爪设备在各种应用中的性能明显提升.文章阐述了未来更高级的自主决策系统和更广泛的应用领域,为机械爪技术的进一步发展和无人机应用的多样化提供有益的参考.
Abstract
The mechanical claw equipment carried by traditional multi-rotor UAVs mostly uses relatively low-level control meth-ods based on remote sensing data and operator input,which reduces the applicability in complex tasks.The application of advanced vi-sion technology to UAV mechanical claw equipment can realize real-time environment perception and object recognition,and im-prove the accuracy and autonomy of UAV mechanical claw equipment.This paper builds a flight platform,designs a grasping strate-gy,and preliminarily confirms that the performance of UAV mechanical claw equipment in various applications supported by visual recognition technology has been significantly improved.This paper expounds the more advanced autonomous decision-making system and more extensive application fields in the future,and provides a useful reference for the further development of mechanical claw technology and the diversification of UAV applications.
关键词
无人机/机械爪/视觉识别/自动化Key words
UAV/mechanical claw/visual recognition/automate引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据