Global Certificate in Vehicle Self-Driving Technology: Autonomy
-- ViewingNowThe Global Certificate in Vehicle Self-Driving Technology: Autonomy course offers a comprehensive exploration of self-driving technology, addressing its growing significance in the automotive industry. This program, designed in collaboration with leading companies and universities, equips learners with essential skills for career advancement in this cutting-edge field.
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โข Introduction to Autonomous Vehicle Technology – Overview of self-driving technology, its history, and potential impact on society and transportation.
โข Sensors and Perception – Exploration of sensors used in self-driving vehicles, including cameras, lidar, radar, and ultrasonic sensors, and how they contribute to vehicle perception.
โข Localization and Mapping – Examination of techniques used for localizing self-driving vehicles within their environment and creating high-definition maps for navigation.
โข Path Planning and Decision Making – Study of algorithms and techniques used for path planning, decision making, and motion planning in autonomous vehicles.
โข Artificial Intelligence and Machine Learning – Overview of AI and ML techniques applied to self-driving technology, such as deep learning, computer vision, and reinforcement learning.
โข Connectivity and V2X Communications – Investigation of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication technologies and their role in autonomous driving.
โข Safety and Security – Examination of safety and security challenges in self-driving vehicles, including redundancy, risk mitigation, and cybersecurity measures.
โข Regulations and Ethics – Overview of legal and ethical considerations surrounding self-driving vehicles, including government regulations, liability, and privacy concerns.
โข Future Trends and Challenges – Discussion of emerging trends and future challenges in self-driving technology, such as autonomous public transportation, shared mobility, and autonomous last-mile delivery.
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