Nicolas Scheiner

Orcid: 0000-0002-5176-6159

According to our database1, Nicolas Scheiner authored at least 10 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
The Radar Ghost Dataset - An Evaluation of Ghost Objects in Automotive Radar Data.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications.
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020
Using Machine Learning to Detect Ghost Images in Automotive Radar.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification?
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices.
CoRR, 2019

Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS.
CoRR, 2019

Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

A Multi-Stage Clustering Framework for Automotive Radar Data.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Radar-based Feature Design and Multiclass Classification for Road User Recognition.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018


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