Nicolas Scheiner

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Neural Network Ensembles

Clustering Framework

Novelty Detection

Top Venues

Publications

Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
The Radar Ghost Dataset - An Evaluation of Ghost Objects in Automotive Radar Data. CoRR (2024)
Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, Jürgen Dickmann, Christian Wöhler
RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications. FUSION (2021)
Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
The Radar Ghost Dataset - An Evaluation of Ghost Objects in Automotive Radar Data. IROS (2021)
Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, Jürgen Dickmann, Christian Wöhler
RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications. CoRR (2021)
Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
Using Machine Learning to Detect Ghost Images in Automotive Radar. CoRR (2020)
Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification? FUSION (2020)
Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. CVPR (2020)
Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification? CoRR (2020)
Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
Using Machine Learning to Detect Ghost Images in Automotive Radar. ITSC (2020)
Nicolas Scheiner, Stefan Haag, Nils Appenrodt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche, Bernhard Sick
Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices. CoRR (2019)
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
Radar-based Feature Design and Multiclass Classification for Road User Recognition. CoRR (2019)
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS. CoRR (2019)
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
A Multi-Stage Clustering Framework for Automotive Radar Data. CoRR (2019)
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles. IV (2019)
Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. CoRR (2019)
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles. CoRR (2019)
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
A Multi-Stage Clustering Framework for Automotive Radar Data. ITSC (2019)
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
Radar-based Feature Design and Multiclass Classification for Road User Recognition. Intelligent Vehicles Symposium (2018)