Professional Certificate in Autonomous Vehicles Data Fusion
-- ViewingNowThe Professional Certificate in Autonomous Vehicles Data Fusion is a course designed to equip learners with essential skills for the fast-growing autonomous vehicle industry. This program highlights the importance of data fusion, a critical technology that combines sensor data to enable autonomous vehicles to understand their surroundings accurately.
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โข Introduction to Autonomous Vehicles Data Fusion: Sensor Fusion, Data Sources in Autonomous Vehicles, Importance of Data Fusion
โข Sensors in Autonomous Vehicles: Camera, Lidar, Radar, Ultrasonic, IMU, GNSS
โข Signal Processing for Sensor Data: Time-Series Data, Filtering, Noise Reduction, Data Normalization
โข Data Fusion Techniques: Kalman Filter, Extended Kalman Filter, Particle Filter, Bayesian Network
โข Object Detection and Tracking: Computer Vision, Machine Learning, Deep Learning, Multi-Object Tracking
โข Localization and Mapping: Simultaneous Localization and Mapping (SLAM), Probabilistic Robotics, Occupancy Grids
โข Safety and Security in Autonomous Vehicles: Cybersecurity, Data Privacy, Redundancy, Fault Tolerance
โข Real-World Applications and Case Studies: Autonomous Cars, Drones, Robots, Industry 4.0, Smart Cities
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