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Deep Learning for Direction Estimation by geminiagain08 is a document available to read on EtoBox.

What is Deep Learning for Direction Estimation about?

This paper presents a deep learning approach for direction of arrival (DoA) estimation using automotive-grade ultrasonic sensors, aimed at enhancing environmental perception for autonomous driving and advanced driving assistance systems. The proposed method outperforms traditional deterministic algorithms, such as the MUSIC algorithm, particularly under realistic conditions with environmental noise and measurement errors. By combining triangulation with deep learning, the approach addresses limitations like

Author

geminiagain08

Language

EN