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The maximum landmark recognition rate reached 95.9%.
Detailed experimentation has revealed accurate landmark recognition in indoor workspaces.
Mathematical tools from projective geometry are employed for landmark identification, facilitating robust landmark recognition irrespective from the camera viewpoint.
Such a system would be very useful for mobile robots, e.g. for landmark recognition or for the fulfilment of certain tasks.
Parallel to global localization, the robot and its heading position obtained from landmark recognition is calibrated and hence accumulated errors from dead reckoning and gyro drift are eliminated.
Along with the rapid development of intelligent mobile terminals, applications on landmark recognition attract increasingly attentions by world wide researchers in the past several years.
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A dual Feedforward/Feedback architecture has been used as the UAV׳s controller and the K-NN classifier using the gray level image histogram as discriminant variables has been applied for landmarks recognition.
Once out of the scanner after learning had concluded, subjects' knowledge of Fog World landmarks (recognition memory or 'memorableness', permanence, visual salience and size see 'Materials and methods'), as well as their ability to volitionally navigate within Fog World were assessed.
Practical examples include vehicle, pedestrian and landmark identification for driver assistance; image recognition; speech recognition; natural language processing; neural machine translation and cancer detection.
Section 3 presents the user motion recognition method for landmark identification.
Besides, we develop a robust user motion recognition method for landmark identification, without requiring noisy barometers.
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