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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⢠Introduction to Sensor Fusion: Understanding the Basics and Importance
⢠Types of Sensors in Autonomous Vehicles: Cameras, Lidar, Radar, and Ultrasonic Sensors
⢠Data Fusion Methods: Probabilistic and Complementary Filtering, Kalman Filter, and Particle Filter
⢠Sensor Calibration Techniques: Intrinsic and Extrinsic Calibration
⢠Object Detection and Tracking: Multi-Object Tracking and Data Association
⢠Localization and Mapping: Simultaneous Localization and Mapping (SLAM)
⢠Path Planning and Decision Making: Behavior and Motion Planning
⢠Implementing Sensor Fusion in Autonomous Driving Systems: Real-World Applications and Challenges
⢠Evaluation and Validation: Testing and Verification Methods for Autonomous Driving Systems
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