Robust Semantic Segmentation in Adverse Weather Conditions by means of Sensor Data Fusion

24 May 2019Andreas PfeufferKlaus Dietmayer

A robust and reliable semantic segmentation in adverse weather conditions is very important for autonomous cars, but most state-of-the-art approaches only achieve high accuracy rates in optimal weather conditions. The reason is that they are only optimized for good weather conditions and given noise models... (read more)

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