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2020 – today
- 2024
[i11]Mariella Dreissig, Florian Piewak, Joschka Boedecker:
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation. CoRR abs/2404.06124 (2024)- 2023
- [c7]Mariella Dreissig, Florian Piewak, Joschka Boedecker:
On the Calibration of Uncertainty Estimation in LiDAR-Based Semantic Segmentation. ITSC 2023: 4798-4805 - [c6]Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker:
Survey on LiDAR Perception in Adverse Weather Conditions. IV 2023: 1-8 - [i10]Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker:
Survey on LiDAR Perception in Adverse Weather Conditions. CoRR abs/2304.06312 (2023) - [i9]Mariella Dreissig, Florian Piewak, Joschka Boedecker:
On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation. CoRR abs/2308.02248 (2023) - 2022
- [i8]Mariella Dreissig, Florian Piewak, Joschka Boedecker:
On the calibration of underrepresented classes in LiDAR-based semantic segmentation. CoRR abs/2210.06811 (2022) - 2020
- [b1]Florian Piewak:
LiDAR-based Semantic Labeling: Automotive 3D Scene Understanding. Karlsruhe Institute of Technology, Germany, 2020 - [j1]Robin Heinzler
, Florian Piewak, Philipp Schindler, Wilhelm Stork:
CNN-Based Lidar Point Cloud De-Noising in Adverse Weather. IEEE Robotics Autom. Lett. 5(2): 2514-2521 (2020)
2010 – 2019
- 2019
- [c5]Florian Piewak, Peter Pinggera, Marius Zöllner:
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. ITSC 2019: 3419-3426 - [i7]Florian Piewak, Peter Pinggera, J. Marius Zöllner:
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. CoRR abs/1907.02149 (2019) - [i6]Robin Heinzler, Florian Piewak, Philipp Schindler, Wilhelm Stork:
CNN-based Lidar Point Cloud De-Noising in Adverse Weather. CoRR abs/1912.03874 (2019) - 2018
- [c4]Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Marius Zöllner:
Improved Semantic Stixels via Multimodal Sensor Fusion. GCPR 2018: 447-458 - [c3]Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, Markus Enzweiler, David Pfeiffer, J. Marius Zöllner:
Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation. ECCV Workshops (6) 2018: 497-513 - [i5]Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, David Pfeiffer, Markus Enzweiler, J. Marius Zöllner:
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation. CoRR abs/1804.09915 (2018) - [i4]Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Johann Marius Zöllner:
Improved Semantic Stixels via Multimodal Sensor Fusion. CoRR abs/1809.08993 (2018) - 2017
- [c2]Florian Piewak, Timo Rehfeld, Michael Weber, Johann Marius Zöllner:
Fully convolutional neural networks for dynamic object detection in grid maps. Intelligent Vehicles Symposium 2017: 392-398 - [c1]Nick Schneider, Florian Piewak, Christoph Stiller, Uwe Franke:
RegNet: Multimodal sensor registration using deep neural networks. Intelligent Vehicles Symposium 2017: 1803-1810 - [i3]Nick Schneider, Florian Piewak, Christoph Stiller, Uwe Franke:
RegNet: Multimodal Sensor Registration Using Deep Neural Networks. CoRR abs/1707.03167 (2017) - [i2]Florian Piewak:
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps (Masters Thesis). CoRR abs/1709.03138 (2017) - [i1]Florian Piewak, Timo Rehfeld, Michael Weber, J. Marius Zöllner:
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps. CoRR abs/1709.03139 (2017)
Coauthor Index
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