Self-Driving Car Steering Angle Prediction Based On Deep Neural Network An Example Of CarND Udacity Simulator

Engineering notes

Key topics: self-driving car, self-driving, prediction. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

The implementation of self-driving cars will change human lives. Such systems require huge computing power and big datasets. There exists an emulator generating the desired number of images of the vehicle movement easily. We explore the possibility of using obtained images from the emulator for training deep neural networks for prediction of steering angle. This approach allows car to move in automatic mode. We explore various architectures of convolutional neural networks in order to obtain good results with a minimum number of parameters.

Links and sources

• Official / arXiv page

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