Certificate in Sensor Fusion Techniques for Self-Driving Autonomous Cars
-- ViewingNowThe Certificate in Sensor Fusion Techniques for Self-Driving Autonomous Cars is a comprehensive course designed to empower learners with the essential skills needed to thrive in the rapidly growing autonomous vehicles industry. This course focuses on the critical area of sensor fusion, which combines data from various sensors to generate accurate and reliable environmental models for self-driving cars.
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โข Introduction to Sensor Fusion: Understanding the Basics and Importance
โข Types of Sensors in Autonomous Vehicles: Cameras, Lidar, Radar, and Ultrasonic Sensors
โข Data Fusion Methods: Probabilistic and Complementary Filtering, Kalman Filter, and Particle Filter
โข Sensor Calibration Techniques: Intrinsic and Extrinsic Calibration
โข Object Detection and Tracking: Multi-Object Tracking and Data Association
โข Localization and Mapping: Simultaneous Localization and Mapping (SLAM)
โข Path Planning and Decision Making: Behavior and Motion Planning
โข Implementing Sensor Fusion in Autonomous Driving Systems: Real-World Applications and Challenges
โข Evaluation and Validation: Testing and Verification Methods for Autonomous Driving Systems
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