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 NonPeerReviewed
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
https://repository.ugm.ac.id/283882/
https://www.researchgate.net/publication/363731195_SINGLE_CAMERA_DATA_AUGMENTATION_IN_END-TO-END_DEEP_LEARNING_SIMULATED_SELF-DRIVING_CAR
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Institution: Universitas Gadjah Mada
Language: English

Internet

https://repository.ugm.ac.id/283882/1/SINGLE-CAMERA-DATA-AUGMENTATION-IN-ENDTOEND-DEEP-LEARNING-SIMULATED-SELFDRIVING-CARICIC-Express-Letters-Part-B-Applications.pdf
https://repository.ugm.ac.id/283882/
https://www.researchgate.net/publication/363731195_SINGLE_CAMERA_DATA_AUGMENTATION_IN_END-TO-END_DEEP_LEARNING_SIMULATED_SELF-DRIVING_CAR

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