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

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

Abstract

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.

Publications

10 25 50

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