Axon Pulse is focused on revolutionizing automotive radar signal processing though the use of artificial intelligence and deep learning technologies.

Its radar signal processing engine, DeePulse, uses neural networks to increase automotive radar sensitivity and range, improve detection, enhance resolution and separation, and improve tracking.

DeePulse also enables new capabilities, such as radar-AI-based target classification, and can differentiate between cars, pedestrians, motorcyclists, bicyclists, and more.

Its AI and deep learning technology takes advantage of hidden features in radar signals in order to outperform classical radar algorithms and dramatically improve radar perception.

DeePulse can use various types of radar data input, from raw IQ data and range-doppler and time-doppler representations through high-resolution point clouds, to provide comprehensive insights for any scenario.