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.
翻译：过去几年来,自驾车辆急剧扩张。 尤大城发布了一套数据集, 其中包括一套带有驾驶过程中所捕捉方向角的图像。 乌大城挑战旨在仅根据所提供的图像预测方向角。 我们探索两种不同的模型, 以便利用不同的深层学习技术, 包括转移学习、 3D CNN、 LSTM 和 ResNet, 对方向角进行高质量的预测。 如果乌大城挑战还在持续进行, 我们的两个模型都会在所有条目中排在前十位。
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