“Transparent Deep Learning Classifier of Driving Scenarios able to Identify and Learn from Unseen Situations” is a project funded by Ford Motor Co. and conducted at Lancaster Intelligent, Robotic and Autonomous Systems Centre (LIRA) – Lancaster University.
The project offers new approaches, methodologies, and concepts for the classification of driving scenarios, able to recognize and detect unexpected and unknown situations. It offers a fast, accurate, transparent, non-parametric deep architecture.
The Lancaster team is composed by:
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Prof. Plamen AngelovPrincipal Investigator Website: Link Google Scholar: Link |
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Student Researcher |
The Ford team is composed by:
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Dr. Dimitar FilevHenry Ford Technical Fellow |
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Dr. Marcos P. G. CastroResearch Scientist |
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Dr. Subramanya Prasad NageshraoResearch Scientist |
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Dr. Bruno CostaResearch Scientist |