Improving Egovehicle Control in Deep Learning training Pipeline for Autonomous Cars

This is Syamimi’s MSc work. We continue our exploration in self-driving car technology.


Vehicles Adaptability in Deep Learning training Pipeline for Autonomous Cars

Autonomous driving deep-learning models are trained on a dataset from a particular egocar. We hypothesize the performance will deteriorate when used on a different egocar. In this project, we attempted to tweak the learning pipeline for autonomous car to improve the performance when using different egocars.

People

Data/Codes

Publications

Media