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    • 1. 发明授权
    • Position estimation apparatus, position estimation method and program recording medium
    • 位置估计装置,位置估计方法和程序记录介质
    • US07873447B2
    • 2011-01-18
    • US11745947
    • 2007-05-08
    • Kenichiro OiMasahiro FujitaTakayuki YoshigaharaSteffen GutmannMasaki Fukuchi
    • Kenichiro OiMasahiro FujitaTakayuki YoshigaharaSteffen GutmannMasaki Fukuchi
    • G06F17/00
    • G01C21/12G01C22/02
    • The present invention provides a position estimation apparatus capable of determining whether an estimated value deviates from an actual value and trying a process to correct the estimated value if the estimated value is determined to be incorrect. The position estimation apparatus employs a position prediction unit configured to produce a prediction of the position of a mobile object having an odometry sensor mounted thereon, an environment observation unit configured to keep track of each feature point in the environment of the mobile object, a prediction-error check unit configured to determine whether the position prediction produced by the position prediction unit is correct or incorrect, a position-prediction correction unit configured to correct a wrong position prediction and a position/posture updating unit configured to update the position and/or posture of the mobile object on the basis of a correct position prediction.
    • 本发明提供一种位置估计装置,其能够确定估计值是否偏离实际值,并且如果估计值被确定为不正确则尝试过程来校正估计值。 位置估计装置使用位置预测单元,其被配置为产生安装有测距传感器的移动体的位置的预测,环境观测单元,被配置为跟踪移动体的环境中的每个特征点,预测 错误检查单元,被配置为确定位置预测单元产生的位置预测是正确还是不正确;位置预测校正单元,被配置为校正错误的位置预测;以及位置/姿势更新单元,被配置为更新位置和/或 基于正确位置预测的移动物体的姿态。
    • 2. 发明申请
    • Position Estimation Apparatus, Position Estimation Method and Program Recording Medium
    • 位置估计装置,位置估计方法和程序记录介质
    • US20070265741A1
    • 2007-11-15
    • US11745947
    • 2007-05-08
    • Kenichiro OIMasahiro FujitaTakayuki YoshigaharaSteffen GutmannMasaki Fukuchi
    • Kenichiro OIMasahiro FujitaTakayuki YoshigaharaSteffen GutmannMasaki Fukuchi
    • G06F17/10
    • G01C21/12G01C22/02
    • The present invention provides a position estimation apparatus capable of determining whether an estimated value deviates from an actual value and trying a process to correct the estimated value if the estimated value is determined to be incorrect. The position estimation apparatus employs a position prediction unit configured to produce a prediction of the position of a mobile object having an odometry sensor mounted thereon, an environment observation unit configured to keep track of each feature point in the environment of the mobile object, a prediction-error check unit configured to determine whether the position prediction produced by the position prediction unit is correct or incorrect, a position-prediction correction unit configured to correct a wrong position prediction and a position/posture updating unit configured to update the position and/or posture of the mobile object on the basis of a correct position prediction.
    • 本发明提供一种位置估计装置,其能够确定估计值是否偏离实际值,并且如果估计值被确定为不正确则尝试过程来校正估计值。 位置估计装置使用位置预测单元,其被配置为产生安装有测距传感器的移动体的位置的预测,环境观测单元,被配置为跟踪移动体的环境中的每个特征点,预测 错误检查单元,被配置为确定位置预测单元产生的位置预测是正确还是不正确;位置预测校正单元,被配置为校正错误的位置预测;以及位置/姿势更新单元,被配置为更新位置和/或 基于正确位置预测的移动物体的姿态。
    • 3. 发明授权
    • Image processing system, learning device and method, and program
    • 图像处理系统,学习装置和方法,程序
    • US08582887B2
    • 2013-11-12
    • US11813404
    • 2005-12-26
    • Hirotaka SuzukiAkira NakamuraTakayuki YoshigaharaKohtaro SabeMasahiro Fujita
    • Hirotaka SuzukiAkira NakamuraTakayuki YoshigaharaKohtaro SabeMasahiro Fujita
    • G06K9/00
    • G06K9/00288G06K9/6211G06K9/623G06T7/00
    • The present invention relates to an image processing system, a learning device and method, and a program which enable easy extraction of feature amounts to be used in a recognition process. Feature points are extracted from a learning-use model image, feature amounts are extracted based on the feature points, and the feature amounts are registered in a learning-use model dictionary registration section 23. Similarly, feature points are extracted from a learning-use input image containing a model object contained in the learning-use model image, feature amounts are extracted based on these feature points, and these feature amounts are compared with the feature amounts registered in a learning-use model registration section 23. A feature amount that has formed a pair the greatest number of times as a result of the comparison is registered in the model dictionary registration section 12 as the feature amount to be used in the recognition process. The present invention is applicable to a robot.
    • 本发明涉及图像处理系统,学习装置和方法以及能够容易地提取在识别处理中使用的特征量的程序。 从学习用模型图像提取特征点,基于特征点提取特征量,并且将特征量登记在学习用模型字典注册部23中。同样,从学习用途中提取特征点 基于这些特征点提取含有包含在学习用模型图像中的模型对象的输入图像,并将这些特征量与在学习用模型登记部23中登记的特征量进行比较。特征量 作为比较的结果,在模型字典登记部12中登记了作为识别处理中使用的特征量的最大次数的对。 本发明可应用于机器人。
    • 4. 发明申请
    • Image Processing System, Learning Device and Method, and Program
    • 图像处理系统,学习装置和方法以及程序
    • US20090041340A1
    • 2009-02-12
    • US11813404
    • 2005-12-26
    • Hirotaka SuzukiAkira NakamuraTakayuki YoshigaharaKohtaro SabeMasahiro Fujita
    • Hirotaka SuzukiAkira NakamuraTakayuki YoshigaharaKohtaro SabeMasahiro Fujita
    • G06K9/46
    • G06K9/00288G06K9/6211G06K9/623G06T7/00
    • The present invention relates to an image processing system, a learning device and method, and a program which enable easy extraction of feature amounts to be used in a recognition process. Feature points are extracted from a learning-use model image, feature amounts are extracted based on the feature points, and the feature amounts are registered in a learning-use model dictionary registration section 23. Similarly, feature points are extracted from a learning-use input image containing a model object contained in the learning-use model image, feature amounts are extracted based on these feature points, and these feature amounts are compared with the feature amounts registered in a learning-use model registration section 23. A feature amount that has formed a pair the greatest number of times as a result of the comparison is registered in the model dictionary registration section 12 as the feature amount to be used in the recognition process. The present invention is applicable to a robot.
    • 本发明涉及图像处理系统,学习装置和方法以及能够容易地提取在识别处理中使用的特征量的程序。 从学习用模型图像提取特征点,基于特征点提取特征量,并且将特征量登记在学习用模型字典注册部23中。同样,从学习用途中提取特征点 基于这些特征点提取含有包含在学习用模型图像中的模型对象的输入图像,并将这些特征量与在学习用模型登记部23中登记的特征量进行比较。特征量 作为比较的结果,在模型字典登记部12中登记了作为识别处理中使用的特征量的最大次数的对。 本发明可应用于机器人。