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Books and Theses
- 2018
[b1]Peter Pinggera:
Stereoscopic methods for high-performance object detection and distance estimation : extending visual environment perception for intelligent vehicles. Frankfurt University, Germany, 2018
Conference and Workshop Papers
- 2021
- [c12]Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, Andreas Geiger:
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation. ICCV 2021: 13106-13116 - [c11]David Emmerichs, Peter Pinggera, Björn Ommer:
VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences. ICRA 2021: 13279-13285 - 2019
- [c10]Florian Piewak
, Peter Pinggera, Marius Zöllner:
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. ITSC 2019: 3419-3426 - 2018
- [c9]Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Marius Zöllner:
Improved Semantic Stixels via Multimodal Sensor Fusion. GCPR 2018: 447-458 - [c8]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 - 2017
- [c7]Sebastian Ramos, Stefan K. Gehrig, Peter Pinggera, Uwe Franke, Carsten Rother:
Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling. Intelligent Vehicles Symposium 2017: 1025-1032 - 2016
- [c6]Nick Schneider, Lukas Schneider, Peter Pinggera, Uwe Franke, Marc Pollefeys, Christoph Stiller:
Semantically Guided Depth Upsampling. GCPR 2016: 37-48 - [c5]Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester:
Lost and Found: detecting small road hazards for self-driving vehicles. IROS 2016: 1099-1106 - 2015
- [c4]Peter Pinggera, Uwe Franke, Rudolf Mester:
High-performance long range obstacle detection using stereo vision. IROS 2015: 1308-1313 - 2014
- [c3]Peter Pinggera, David Pfeiffer, Uwe Franke, Rudolf Mester:
Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice. ECCV (2) 2014: 96-111 - 2013
- [c2]Peter Pinggera, Uwe Franke, Rudolf Mester:
Highly Accurate Depth Estimation for Objects at Large Distances. GCPR 2013: 21-30 - 2012
- [c1]Peter Pinggera, Toby P. Breckon, Horst Bischof:
On Cross-Spectral Stereo Matching using Dense Gradient Features. BMVC 2012: 1-12
Informal and Other Publications
- 2019
- [i6]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) - 2018
- [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) - 2016
- [i3]Nick Schneider, Lukas Schneider, Peter Pinggera, Uwe Franke, Marc Pollefeys, Christoph Stiller:
Semantically Guided Depth Upsampling. CoRR abs/1608.00753 (2016) - [i2]Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester:
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles. CoRR abs/1609.04653 (2016) - [i1]Sebastian Ramos, Stefan K. Gehrig, Peter Pinggera, Uwe Franke, Carsten Rother:
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling. CoRR abs/1612.06573 (2016)
Coauthor Index
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