Nicolas Scheiner

19 papers A* 1A 1B 1C 3Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — —
Object Detection for Automotive Radar Perception (Machine Learning Approaches for Identifying Moving Road Users in Urban Scenarios)
Nicolas Scheiner
2024 J jnl
The Radar Ghost Dataset - An Evaluation of Ghost Objects in Automotive Radar Data.
CoRR
Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
2021 C conf
RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications.
FUSION
Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, Jürgen Dickmann, Christian Wöhler
2021 J jnl
RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications.
CoRR
Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, Jürgen Dickmann, Christian Wöhler
2021 A conf
The Radar Ghost Dataset - An Evaluation of Ghost Objects in Automotive Radar Data.
IROS
Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
2020 C conf
Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification?
FUSION
Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2020 J jnl
Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification?
CoRR
Nicolas Scheiner, Ole Schumann, Florian Kraus, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2020 A* conf
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar.
CVPR
Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
2020 — conf
Using Machine Learning to Detect Ghost Images in Automotive Radar.
ITSC
Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
2020 J jnl
Using Machine Learning to Detect Ghost Images in Automotive Radar.
CoRR
Florian Kraus, Nicolas Scheiner, Werner Ritter, Klaus Dietmayer
2019 — conf
A Multi-Stage Clustering Framework for Automotive Radar Data.
ITSC
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019 J jnl
A Multi-Stage Clustering Framework for Automotive Radar Data.
CoRR
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019 J jnl
Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices.
CoRR
Nicolas Scheiner, Stefan Haag, Nils Appenrodt, Bharanidhar Duraisamy, Jürgen Dickmann, Martin Fritzsche, Bernhard Sick
2019 J jnl
Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS.
CoRR
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019 J jnl
Radar-based Feature Design and Multiclass Classification for Road User Recognition.
CoRR
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019 C conf
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles.
IV
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019 J jnl
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles.
CoRR
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick
2019 J jnl
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar.
CoRR
Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
2018 B conf
Radar-based Feature Design and Multiclass Classification for Road User Recognition.
Intelligent Vehicles Symposium
Nicolas Scheiner, Nils Appenrodt, Jürgen Dickmann, Bernhard Sick