Papers › Self-Driving Car Steering Angle Prediction Based on Image Recognition

Self-Driving Car Steering Angle Prediction Based on Image Recognition

11 Dec 2019arXiv:1912.05440archive 2025-07-28

Shuyang Du, Haoli Guo, Andrew Simpson

Self-driving vehicles have expanded dramatically over the last few years. Udacity has release a dataset containing, among other data, a set of images with the steering angle captured during driving. The Udacity challenge aimed to predict steering angle based on only the provided images. We explore two different models to perform high quality prediction of steering angles based on images using different deep learning techniques including Transfer Learning, 3D CNN, LSTM and ResNet. If the Udacity challenge was still ongoing, both of our models would have placed in the top ten of all entries.

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FangLintao/Self-Driving-Car mentioned on GitHubpytorch report
Pices-26/AI-Car-FYP mentioned on GitHubtf report

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Transfer Learning

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1x1 ConvolutionAverage PoolingBatch NormalizationBottleneck Residual BlockConvolutionGlobal Average PoolingKaiming InitializationLSTMMax PoolingReLUResidual BlockResidual ConnectionSigmoid ActivationTanh Activation

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