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Extended Kalman Filter (EKF) based Simultaneous Localization and Mapping (SLAM) for differential drive robots, featuring dynamic landmark management and covariance tracking.
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This is a standard implementation of the classic EKF-SLAM algorithm commonly found in robotics textbooks (e.g., Probabilistic Robotics by Thrun et al.). With zero stars and forks, it serves as a personal educational project or portfolio piece. It lacks any competitive moat or unique technical advantage over established libraries like ROS gmapping or GTSAM.
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