Florian Piewak

Orcid: 0000-0001-7801-7142

According to our database1, Florian Piewak authored at least 12 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation.
CoRR, 2024

2023
Survey on LiDAR Perception in Adverse Weather Conditions.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

On the Calibration of Uncertainty Estimation in LiDAR-Based Semantic Segmentation.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
On the calibration of underrepresented classes in LiDAR-based semantic segmentation.
CoRR, 2022

2020
LiDAR-based Semantic Labeling: Automotive 3D Scene Understanding.
PhD thesis, 2020

CNN-Based Lidar Point Cloud De-Noising in Adverse Weather.
IEEE Robotics Autom. Lett., 2020

2019
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Improved Semantic Stixels via Multimodal Sensor Fusion.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017
Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps (Masters Thesis).
CoRR, 2017

RegNet: Multimodal sensor registration using deep neural networks.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Fully convolutional neural networks for dynamic object detection in grid maps.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017


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