Certificate in Robotics SLAM: Simultaneous Localization and Mapping
-- ViewingNowThe Certificate in Robotics SLAM: Simultaneous Localization and Mapping is a comprehensive course that teaches the fundamentals of robot navigation and mapping. This program is essential for those interested in robotics, computer vision, and autonomous systems, as SLAM is a critical technology for these fields.
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โข Introduction to Robotics and SLAM: Understanding the fundamentals of robotics and the concept of Simultaneous Localization and Mapping (SLAM)
โข Sensor Technologies: An overview of various sensors used in SLAM, including cameras, lidars, and ultrasonic sensors
โข Mathematic Foundations for SLAM: Delving into the essential mathematical principles, such as linear algebra, geometry, and probability theory
โข Feature Extraction and Matching: Learning about feature detection, description, and matching techniques for image-based SLAM algorithms
โข Odometry and Localization: Understanding the concept of dead reckoning, visual odometry, and probabilistic methods for localization
โข Mapping Techniques: Exploring various mapping algorithms, such as occupancy grids, elevation maps, and 3D point clouds
โข Graph-based SLAM: Diving into graph optimization techniques for large-scale SLAM problems
โข Implementing SLAM Algorithms: Hands-on experience in designing and implementing real-world SLAM applications
โข SLAM Evaluation Metrics: Learning how to evaluate and compare the performance of different SLAM algorithms
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