Single Camera Data Augmentation in End-To-End Deep
Learning Simulated Self-Driving Car

Single Camera Data Augmentation in End-To-End Deep Learning Simulated Self-Driving Car

Developing a self-driving car is a daunting task. Usually there are multiple steps involved in the learning pipeline to generate a feasible model. This research offers an alternative approach using end-to-end deep learning with vast data generated from a simulated environment. The dataset, combin...

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Bibliographic Details
Main Authors:	Timur, Muhammad Idham Ananta, Istiyanto, Jazi Eko, Dharmawan, Andi, Setiadi, Beatrice Paulina
Format:	Other
Language:	English
Published:	ICIC Express Letters, Part B: Applications 2022
Subjects:	Electrical and Electronic Engineering
Online Access:	https://repository.ugm.ac.id/283882/1/SINGLE-CAMERA-DATA-AUGMENTATION-IN-ENDTOEND-DEEP-LEARNING-SIMULATED-SELFDRIVING-CARICIC-Express-Letters-Part-B-Applications.pdf

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