148 citations · 415 across the 10 of their papers we have counts for
3 papers · 2 filters
A Multi-Stage Clustering Framework for Automotive Radar Data
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann +1
Radar sensors provide a unique method for executing environmental perception tasks towards autonomous driving. Especially their capability to perform well in adverse weather condit…
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann +1
Radar-based road user classification is an important yet still challenging task towards autonomous driving applications. The resolution of conventional automotive radar sensors res…
Radar-based Feature Design and Multiclass Classification for Road User Recognition
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann +1
The classification of individual traffic participants is a complex task, especially for challenging scenarios with multiple road users or under bad weather conditions. Radar sensor…