Connected and Autonomous Vehicles: Computer Vision and AI
This course covers a number of key topics in Computer Vision, Machine Learning, Deep Learning, and Artificial Intelligence. It provides a general overview of the key challenges faced when applying such techniques to Connected Autonomous Vehicles, starting with fundamental concepts and techniques. This includes topics such as CAV routing, game theory and coordination. The course also shows how a variety of AI techniques can be combined to solve particular use-cases of CAVs.
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The Transport Systems Catapult (Connected Places Catapult ) is the UK’s technology and innovation centre for Intelligent Mobility. It is a neutral, not-for-profit, Technology and Innovation company which aims to make the UK a world leader in Transport Innovation.
Sarvapali D. Ramchurn
• Select and apply a variety of AI, Machine Learning, and Computer Vision techniques to CAV applications
• Model CAV coordination and routing problems
• Identify ethical and social impacts of CAVs
£45.00Connected and Autonomous Vehicles: Computer Vision and AI Unit 1 - Overview of the Challenges
£45.00Connected and Autonomous Vehicles: Computer Vision and AI Unit 4 - Deep Learning for Machine Vision
£45.00Connected and Autonomous Vehicles: Computer Vision and AI Unit 8 - Game Theory and Mechanism Design