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Real-time capturing of a color image and depth map from an arbitrary scene is very crucial in various applications such as robotics, automotive, augmented reality, and interactive gaming, because it enables electronic devices to recognize and track target objects without complicated post-processing. Numerous color image sensors have been developed, pushing small-size and high-sensitivity pixels [1,2];...
We present an efficient dynamic localization based on EKF (Extended Kalman Filter) for indoor autonomous mobile robots using multiple ultrasonic distance measurements, which is a fundamental technique to perform robots intended navigation tasks without human intervention. We present an EKF-based algorithm with a state/observation vector composed of the robot pose using odometric and ultrasonic distance...
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