Deep Learning Methods for Velocity Estimation based on Automotive Radar Data

Beschreibung

Identification of object velocities in the vicinity of self-driving vehicles is of exceptional importance as it provides insights into the evolving environment. To satisfy this demand, this thesis addresses a holistic approach to environment perception, with a particular focus on velocity estimation. Specifically, pioneering artificial intelligence methods are developed to process automotive radar data.

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Marco Braun

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Radar Machine Learning Doppler Disambiguation Deep Learning Artificial Intelligence Velocity Estimation

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