Publications

Publications

 

Peer-Reviewed Articles
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation
Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, David Pfeiffer, Markus Enzweiler and Marius Zöllner
European Conference on Computer Vision (ECCV), Multimodal Learning and Applications Workshop, 2018
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Improved Semantic Stixels via Multimodal Sensor Fusion
Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer and Marius Zöllner
German Conference on Pattern Recognition (GCPR), 2018
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Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
Sebastian Ramos, Stefan Gehrig, Peter Pinggera, Uwe Franke, and Carsten Rother
IEEE Intelligent Vehicles Symposium (IV), 2017
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Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles
Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, and Rudolf Mester
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
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Semantically Guided Depth Upsampling
Nick Schneider, Lukas Schneider, Peter Pinggera, Uwe Franke, Marc Pollefeys, and Christoph Stiller
German Conference on Pattern Recognition (GCPR), 2016
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High-Performance Long Range Obstacle Detection Using Stereo Vision
Peter Pinggera, Uwe Franke, and Rudolf Mester
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015
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Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice
Peter Pinggera, David Pfeiffer, Uwe Franke, and Rudolf Mester
European Conference on Computer Vision (ECCV), 2014
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Highly Accurate Depth Estimation for Objects at Large Distances
Peter Pinggera, Uwe Franke, and Rudolf Mester
German Conference on Pattern Recognition (GCPR), 2013
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On Cross-Spectral Stereo Matching using Dense Gradient Features
Peter Pinggera, Toby P. Breckon, and Horst Bischof
British Machine Vision Conference (BMVC), 2012
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Demos
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
Sebastian Ramos, Peter Pinggera, Stefan Gehrig, Uwe Franke, and Carsten Rother
Conference on Neural Information Processing Systems (NIPS), 2016
Theses
Stereoscopic Methods for High-Performance Object Detection and Distance Estimation
Peter Pinggera
PhD Thesis, 2018
Goethe-University Frankfurt/Main
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Recovery of Depth Information using Paired Optical and Thermal Images
Peter Pinggera
Diploma / MSc Thesis, 2011
Graz University of Technology (TU Graz) & Cranfield University

 


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