With the high focus on autonomous aerial refueling(AAR), it becomes increasingly urgent to design efficient methods or algorithms for solving the AAR problems in complicated aerial environments. A vision-based technol...With the high focus on autonomous aerial refueling(AAR), it becomes increasingly urgent to design efficient methods or algorithms for solving the AAR problems in complicated aerial environments. A vision-based technology for AAR is developed in this paper, and five monocular and binocular visual algorithms for pose estimation of the unmanned aerial vehicles(UAVs) are adopted and verified in this AAR system. The real-time on-board vision system is also designed for precise navigation in the UAVs docking phase. A series of out-door comparative experiments for different pose estimation algorithms are conducted to verify the feasibility and accuracy of the vision algorithms in AAR.展开更多
为提高目前的排班方式在改善体力作业者健康方面的效果,本文综合产量、人因、负荷均衡等约束,构建基于人因的排班模型。首先,利用REBA(Rapid Entire Body Assessment)人因姿势评价工具对每个工位的作业内容进行负荷等级评价;然后,根据...为提高目前的排班方式在改善体力作业者健康方面的效果,本文综合产量、人因、负荷均衡等约束,构建基于人因的排班模型。首先,利用REBA(Rapid Entire Body Assessment)人因姿势评价工具对每个工位的作业内容进行负荷等级评价;然后,根据该模型特点,提出了集合规则生成初始解的模拟退火算法;最后,通过实例,验证该模型得到的排班结果在产量上满足企业要求的同时,全员负荷的离散程度得到缩减,员工身体局部连续高负荷作业的状态得到改善。展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.61425008,61333004&61273054)the Aeronautical Foundation of China(Grant No.2015ZA51013)
文摘With the high focus on autonomous aerial refueling(AAR), it becomes increasingly urgent to design efficient methods or algorithms for solving the AAR problems in complicated aerial environments. A vision-based technology for AAR is developed in this paper, and five monocular and binocular visual algorithms for pose estimation of the unmanned aerial vehicles(UAVs) are adopted and verified in this AAR system. The real-time on-board vision system is also designed for precise navigation in the UAVs docking phase. A series of out-door comparative experiments for different pose estimation algorithms are conducted to verify the feasibility and accuracy of the vision algorithms in AAR.
文摘为提高目前的排班方式在改善体力作业者健康方面的效果,本文综合产量、人因、负荷均衡等约束,构建基于人因的排班模型。首先,利用REBA(Rapid Entire Body Assessment)人因姿势评价工具对每个工位的作业内容进行负荷等级评价;然后,根据该模型特点,提出了集合规则生成初始解的模拟退火算法;最后,通过实例,验证该模型得到的排班结果在产量上满足企业要求的同时,全员负荷的离散程度得到缩减,员工身体局部连续高负荷作业的状态得到改善。
