986 citations
- University of KaiserslauternDE26 papers
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4 papers · 1 filter
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…
Rapid Exact Signal Scanning with Deep Convolutional Neural Networks
Markus Thom, Franz Gritschneder
A rigorous formulation of the dynamics of a signal processing scheme aimed at dense signal scanning without any loss in accuracy is introduced and analyzed. Related methods propose…