The article discusses the elements of systems for ensuring autonomous driving of electric vehicles

What is it about?

The article discusses the elements of systems for ensuring autonomous driving of electric vehicles, the main emphasis is placed on the processing of lidar data using various neural network architectures, such as PointNet, Dynamic Graph CNN, recurrent neural networks (RNN), convolutional neural networks (CNN). The benefits of implementing machine learning methods in lidar applications are discussed, which can improve the safety and efficiency of autonomous electric vehicles. Tasks such as object recognition with interference filtering are considered. The paper substantiates the need for further research and development of noise reduction systems to improve the reliability and sustainability of autonomous lidar systems in real-world conditions.

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Photo by Zaptec on Unsplash

Photo by Zaptec on Unsplash