End-to-End Deep Learning Control for Connected Autonomous Vehicles

Lead Research Organisation: University of Surrey
Department Name: Mechanical Engineering Sciences


propose an end-to-end reinforced deep learning for autonomous emergency braking system of connected vehicles. The system would use recorded images as well as steering, acceleration, and braking signals from a human driven vehicle for the learning data in order to self-optimise the performance of an autonomous emergency braking system. The main objective of the project is to enhance the safety of the current autonomous vehicles in safety critical situations.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R512217/1 01/10/2017 30/09/2021
1949054 Studentship EP/R512217/1 01/10/2017 25/09/2021 Sampo Juhani Kuutti