Peter Pinggera

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 15

Top Topics

Geometric Modeling

Obstacle Detection

Top Venues

Publications

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)
David Emmerichs, Peter Pinggera, Björn Ommer
VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences. ICRA (2021)
Florian Piewak, Peter Pinggera, Marius Zöllner
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. ITSC (2019)
Florian Piewak, Peter Pinggera, J. Marius Zöllner
Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. CoRR (2019)
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)
Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Johann Marius Zöllner
Improved Semantic Stixels via Multimodal Sensor Fusion. CoRR (2018)
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 (2018)
Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Marius Zöllner
Improved Semantic Stixels via Multimodal Sensor Fusion. GCPR (2018)
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)
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)
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 (2016)
Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles. CoRR (2016)
Nick Schneider, Lukas Schneider, Peter Pinggera, Uwe Franke, Marc Pollefeys, Christoph Stiller
Semantically Guided Depth Upsampling. CoRR (2016)
Nick Schneider, Lukas Schneider, Peter Pinggera, Uwe Franke, Marc Pollefeys, Christoph Stiller
Semantically Guided Depth Upsampling. GCPR (2016)
Peter Pinggera, Uwe Franke, Rudolf Mester
High-performance long range obstacle detection using stereo vision. IROS (2015)
Peter Pinggera, David Pfeiffer, Uwe Franke, Rudolf Mester
Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice. ECCV (2) (2014)
Peter Pinggera, Uwe Franke, Rudolf Mester
Highly Accurate Depth Estimation for Objects at Large Distances. GCPR (2013)
Peter Pinggera, Toby P. Breckon, Horst Bischof
On Cross-Spectral Stereo Matching using Dense Gradient Features. BMVC (2012)