Masterclass Certificate in Sensor Fusion for Self-Driving Cars
-- ViewingNowThe Masterclass Certificate in Sensor Fusion for Self-Driving Cars is a comprehensive course that equips learners with critical skills for developing autonomous vehicles. This program emphasizes the importance of sensor fusion, a key technology that combines data from multiple sensors to enable precise navigation and decision-making.
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โข Introduction to Sensor Fusion: Types of sensors, sensor data, and the importance of sensor fusion in self-driving cars.
โข Kalman Filter: Theory, implementation, and optimization of Kalman filters for sensor fusion.
โข Extended Kalman Filter: Advanced use of EKF in sensor fusion for non-linear systems.
โข Particle Filter: Theory, implementation, and optimization of particle filters for sensor fusion.
โข LiDAR and Camera Fusion: Data alignment, transformation, and sensor fusion techniques.
โข Radar and Camera Fusion: Data alignment, transformation, and sensor fusion techniques.
โข IMU and GNSS Fusion: Data alignment, transformation, and sensor fusion techniques.
โข Deep Learning for Sensor Fusion: Neural networks, deep learning, and their application in sensor fusion.
โข Real-time Sensor Fusion in Self-Driving Cars: Techniques and challenges for real-time sensor fusion in self-driving cars.
โข Sensor Fusion Testing and Validation: Techniques for testing and validating sensor fusion algorithms in self-driving cars.
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