What question did this study set out to answer?

The main goal is to develop an end-to-end autonomous steering system using deep learning techniques.

February 19, 2026Open Access

End-to-End Autonomous Steering with Deep CNNs

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This model learns steering control from camera images, suggesting improvements for autonomous driving systems.

The main goal is to develop an end-to-end autonomous steering system using deep learning techniques.
Developed a behavioral cloning framework with a deep CNN.
Trained on 1,230 simulation driving records from monocular camera images.
Implemented preprocessing techniques and data augmentation to address steering imbalance.
Deployed in a real-time simulator–client architecture for speed-regulated control.
Achieved stable lane following and curve negotiation through closed-loop evaluation.
Data augmentation significantly improved recovery behavior and reduced validation loss instability.

Kirubakaran et al. (2017) studied this question.

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