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    • 8. 发明授权
    • Control of mobile robot by detecting line intersections
    • 通过检测线路交叉点来控制移动机器人
    • US08781164B2
    • 2014-07-15
    • US13219290
    • 2011-08-26
    • Seongsu LeeSangik NaYiebin KimSeungmin Baek
    • Seongsu LeeSangik NaYiebin KimSeungmin Baek
    • G06K9/00
    • G05D1/0246G05D1/0274G05D2201/0203
    • Disclosed are a mobile robot and a controlling method of the same. The mobile robot is capable of reducing a position recognition error and performing a precise position recognition even in the occurrence of a change of external illumination, through geometric constraints, when recognizing its position with using a low quality camera (e.g., camera having a low resolution). Furthermore, feature points may be extracted from images detected with using a low quality camera, and the feature points may be robustly matched with each other even in the occurrence of a change of external illumination, through geometric constraints due to the feature lines. This may enhance the performance of the conventional method for recognizing a position based on a camera susceptible to a illumination change, and improve the efficiency of a system.
    • 公开了一种移动机器人及其控制方法。 移动机器人能够通过使用低质量的相机(例如,具有低分辨率的相机)识别其位置时,通过几何约束来减少位置识别误差并执行精确的位置识别 )。 此外,可以从使用低质量照相机检测的图像中提取特征点,并且即使在通过由特征线引起的几何约束的外部照明的变化的发生中,特征点也可以彼此鲁棒地匹配。 这可以增强用于识别基于对照明变化敏感的照相机的位置的传统方法的性能,并且提高系统的效率。
    • 9. 发明申请
    • MOBILE ROBOT AND CONTROLLING METHOD OF THE SAME
    • 移动机器人及其控制方法
    • US20120051595A1
    • 2012-03-01
    • US13219290
    • 2011-08-26
    • Seongsu LeeSangik NaYiebin KimSeungmin Baek
    • Seongsu LeeSangik NaYiebin KimSeungmin Baek
    • G06K9/80G06K9/00
    • G05D1/0246G05D1/0274G05D2201/0203
    • Disclosed are a mobile robot and a controlling method of the same. The mobile robot is capable of reducing a position recognition error and performing a precise position recognition even in the occurrence of a change of external illumination, through geometric constraints, when recognizing its position with using a low quality camera (e.g., camera having a low resolution). Furthermore, feature points may be extracted from images detected with using a low quality camera, and the feature points may be robustly matched with each other even in the occurrence of a change of external illumination, through geometric constraints due to the feature lines. This may enhance the performance of the conventional method for recognizing a position based on a camera susceptible to a illumination change, and improve the efficiency of a system.
    • 公开了一种移动机器人及其控制方法。 移动机器人能够通过使用低质量的相机(例如,具有低分辨率的相机)识别其位置时,通过几何约束来减少位置识别误差并执行精确的位置识别 )。 此外,可以从使用低质量照相机检测的图像中提取特征点,并且即使在通过由特征线引起的几何约束的外部照明的变化的发生中,特征点也可以彼此鲁棒地匹配。 这可以增强用于识别基于对照明变化敏感的照相机的位置的传统方法的性能,并且提高系统的效率。