首页|基于双目视觉的绳驱动飞行机械臂目标识别与抓取

基于双目视觉的绳驱动飞行机械臂目标识别与抓取

扫码查看
为提高面向飞行机械臂平台的目标姿态估计的精度,为飞行机械臂配备双目视觉系统,对绳驱动机械臂和双目相机进行系统建模,利用Camshift算法对目标进行实时追踪,结合目标的几何特征提出一种轻量化的目标姿态估计算法,可用于飞行平台的实时目标追踪与姿态估计并进行飞行机械臂抓取实验.实验证明:该姿态估计算法对于目标追踪和姿态估计具有较好精度,可以实现抓取作业.
Target Tracking and Grabbing of Cable-driven Aerial Manipulator Based on Binocular Vision
To improve the accuracy of target pose estimation on aerial manipulator platform,the aerial manipulator is equipped with a binocular vision system,and the cable-driven manipulator and the binocular camera are modeled.By the Camshift algorithm and with the geometric characteristics of the target,a lightweight target pose estimation algorithm is proposed,which can be used for real-time target tracking and pose estimating on aerial platform as well as for grasping experiment of aerial manipulator.Experiments show that the proposed pose estimation algorithm has good accuracy for target tracking and pose estimating,and can undertake grasping operation.

cable-driven aerial manipulatorbinocular cameraCamshifttarget recognitionpose estimation

谭荣凯、杨浩秦、王尧尧

展开 >

南京航空航天大学机电学院,江苏南京 210016

南京航空航天大学材料科学与技术学院,江苏南京 210016

绳驱动飞行机械臂 双目相机 Camshift 目标追踪 姿态估计

国家自然科学基金项目浙江大学流体动力与机电系统开放基金项目

52175097GZKF-201915

2024

机械制造与自动化
南京机械工程学会 南京机电产业(集团)有限公司

机械制造与自动化

CSTPCD
影响因子:0.29
ISSN:1671-5276
年,卷(期):2024.53(1)
  • 1