Advanced Certificate in Self-Driving Vehicle Fundamentals
-- ViewingNowThe Advanced Certificate in Self-Driving Vehicle Fundamentals is a comprehensive course designed to equip learners with essential skills for the rapidly growing autonomous vehicle industry. This certificate program focuses on critical areas including sensors, computer vision, localization, mapping, and control systems.
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⢠Autonomous Vehicle Sensors: Exploring the different types of sensors used in self-driving vehicles, including LiDAR, radar, cameras, and ultrasonic sensors. Discussing sensor data fusion and perception algorithms.
⢠Vehicle Localization and Mapping: Examining methods for localizing self-driving vehicles within a map, such as particle filters and simultaneous localization and mapping (SLAM). Covering high-definition (HD) map creation and maintenance.
⢠Path Planning and Decision Making: Delving into the techniques used for path planning and decision making, such as A* search, dynamic programming, and Markov decision processes (MDPs). Addressing real-time motion planning and decision-making challenges.
⢠Artificial Intelligence in Self-Driving Vehicles: Investigating the role of artificial intelligence in self-driving vehicles, including machine learning, deep learning, and reinforcement learning. Discussing AI applications such as object detection, classification, and prediction.
⢠Control Systems for Autonomous Vehicles: Analyzing the control systems required for self-driving vehicles, such as low-level vehicle control, trajectory tracking, and behavioral control. Discussing advanced driver-assistance systems (ADAS).
⢠Connected and Autonomous Vehicles: Exploring the concept of connected and autonomous vehicles, including vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. Addressing the potential benefits and challenges of connectivity in self-driving vehicles.
⢠Regulations and Ethics in Self-Driving Vehicles: Examining the current and emerging regulations for self-driving vehicles, including safety standards and liability issues. Investigating the ethical considerations and dilemmas in self-driving vehicles.
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