Certificate in Self-Driving Car Development: Strategic Solutions
-- ViewingNowThe Certificate in Self-Driving Car Development: Strategic Solutions is a comprehensive course designed to meet the surging industry demand for autonomous vehicle expertise. This program empowers learners with essential skills required to develop and deploy self-driving cars, focusing on strategic solutions that address real-world challenges.
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⢠Self-Driving Car Fundamentals: Introduction to self-driving car technology, history, and its impact on the automotive industry.
⢠Sensors and Perception: Types of sensors used in self-driving cars, including cameras, radar, lidar, and ultrasonic sensors. Understanding perception algorithms for object detection, recognition, and tracking.
⢠Localization and Mapping: Techniques for localization and mapping, such as simultaneous localization and mapping (SLAM) and global navigation satellite system (GNSS).
⢠Path Planning and Control: Algorithms for path planning, including dynamic programming, A\* search, and Rapidly-exploring Random Tree (RRT). Vehicle control methods, such as proportional-integral-derivative (PID) control and model predictive control (MPC).
⢠Artificial Intelligence and Machine Learning: Overview of artificial intelligence and machine learning techniques used in self-driving cars, such as deep learning, reinforcement learning, and imitation learning.
⢠Safety and Security: Strategies for ensuring safety and security in self-driving cars, including redundancy, fault tolerance, and cybersecurity measures.
⢠Regulations and Ethics: Overview of current and proposed regulations for self-driving cars, as well as the ethical considerations surrounding autonomous vehicles.
⢠Business Strategy and Implementation: Developing a business strategy for self-driving car development, including market analysis, partnerships, and go-to-market strategies.
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