ID 原文 译文
52937 针对角度未知长矩形目标识别方法独立性和稳健性不强的问题，设计了旋转图片检测目标的方法; Aiming at the problem of the lack of independence and robustness of the long rectangular target recognition method with unknown angle, a method for detecting targets by rotating pictures is designed.
52938 针对传统特征提取方法效率低的问题，提出了颜色分布积分图和基于积分图的特征提取方法。 Aiming at the problem of low efficiency of traditional feature extraction methods, color distribution integral maps and feature extraction methods based on integral maps are proposed.
52939 最后通过实验验证了在不同背景下太阳帆板检测任务中，提出算法的实用性和鲁棒性。 Finally, it is verified through experiments that the proposed algorithm has good practicability and robustness in the solar sail detection task under different backgrounds.
52940 本文利用相机对目标物体特征点的测量信息解决机器人相对位置和姿态的估计问题。 This paper studies the estimation problem of the relative position and attitude for robots based on measured feature points of the target object from the camera.
52941 首先，针对机器人运动过程中相机获得的目标物体连续图像，利用扩展Kalman滤波器估计特征点的三维信息。 Firstly, an extended Kalman filtering is used to estimate the 3-D information of the feature points in the continuous image of the target object obtained by the camera.
52942 然后，在SE(3)空间上设计了一个非线性位姿观测器。利用得到的特征点三维信息构造了 Lyapunov函数，并解耦成分别和姿态误差以及位置误差相关的两部分。 Secondly, a nonlinear pose observer is designed on the SE(3), and Lyapunov function is constructed by the estimated 3-D information of the feature points, which can be decomposed into two parts related to attitude error and position error
52943 利用Lyapunov稳定性原理设计了观测器的姿态误差和位置误差补偿律， Moreover, the attitude error and position error compensation laws of the observer are designed by using the Lyapunov stability theory,
52944 证明了观测器在平衡点处是渐近稳定的。 and it is proved that the observer is asymptotically stable at the equilibrium point.
52945 最后，通过数值仿真实验验证了所提算法的有效性。 Finally, the effectiveness of the proposed algorithm is verified by simulation experiment.
52946 在图像、文本、视频、语音以及社交类网络数据爆炸增长的时代，企业如何从海量非结构化数据中提取出有效信息并将之转化为生产效率的提升和流程自动化的实现，是目前迫切需要关注和解决的问题。 In the era of explosive growth of images, texts, videos, voice and social network data, how enterprises extract and transform effective information from massive unstructured data to improve the production efficiency and realize the process automation has been an urgent concern that needs to be solved.