Certificate in Self-Driving Car Software: Actionable Knowledge
-- ViewingNowThe Certificate in Self-Driving Car Software: Actionable Knowledge is a comprehensive course designed to equip learners with essential skills for the rapidly growing autonomous vehicle industry. This program focuses on the software aspect of self-driving cars, a critical component in this cutting-edge field.
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โข Self-Driving Car Architecture: An overview of the components and architecture of self-driving cars, including sensors, actuators, and software systems.
โข Perception and Computer Vision: Introduction to perception algorithms used in self-driving cars, including object detection, segmentation, and tracking.
โข Localization and Mapping: Understanding localization techniques, including sensor-based and map-based approaches, and their application in self-driving cars.
โข Path Planning and Decision Making: Overview of path planning and decision-making algorithms, including rule-based and machine learning-based approaches.
โข Control Systems: Introduction to control systems in self-driving cars, including steering, braking, and acceleration control.
โข Simulation and Testing: Understanding the importance of simulation and testing in self-driving car development, and the best practices for each.
โข Deep Learning for Autonomous Driving: An introduction to deep learning techniques used in self-driving cars, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
โข Ethics and Regulations in Self-Driving Cars: Overview of ethical considerations and regulations surrounding self-driving cars, including liability and safety.
โข Future of Self-Driving Cars: Discussion of the future of self-driving cars, including potential applications and challenges.
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