Certificate in Self-Driving Car Software: Core Concepts
-- ViewingNowThe Certificate in Self-Driving Car Software: Core Concepts is a comprehensive course designed to equip learners with essential skills for the rapidly growing self-driving car industry. This course covers critical topics such as perception, localization, and mapping, enabling learners to understand the technology that powers autonomous vehicles.
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โข Introduction to Self-Driving Car Software: Basics of self-driving car technology, its significance, and core components.
โข Sensors and Perception in Autonomous Vehicles: Types of sensors (Lidar, Radar, Cameras), perception stack, object detection, and tracking.
โข Localization and Mapping: Understanding localization methods (Visual, IMU, Lidar), mapping technologies, and SLAM.
โข Path Planning and Decision Making: Algorithms for path planning, behavior planning, decision making, and motion planning.
โข Control Systems in Self-Driving Cars: Vehicle dynamics, actuators, and control algorithms.
โข Artificial Intelligence and Machine Learning: Deep learning, reinforcement learning, and their applications in self-driving cars.
โข Simulation and Testing: Importance of simulation, testing scenarios, and safety standards.
โข Data Processing and Storage: Data processing pipelines, big data technologies, and data storage solutions.
โข Ethics and Regulations: Ethical considerations, legal frameworks, and regulatory compliance in autonomous vehicles.
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