Peter Pinggera

19 papers A* 2A 3B 1Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2021	A*	`conf`	SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation. ICCV Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, Andreas Geiger
2021	A*	`conf`	VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences. ICRA David Emmerichs, Peter Pinggera, Björn Ommer
2019	—	`conf`	Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. ITSC Florian Piewak, Peter Pinggera, Marius Zöllner
2019	J	`jnl`	Analyzing the Cross-Sensor Portability of Neural Network Architectures for LiDAR-based Semantic Labeling. CoRR Florian Piewak, Peter Pinggera, J. Marius Zöllner
2018	—	`conf`	Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation. ECCV Workshops (6) Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, Markus Enzweiler, David Pfeiffer, J. Marius Zöllner
2018	J	`jnl`	Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation. CoRR Florian Piewak, Peter Pinggera, Manuel Schäfer, David Peter, Beate Schwarz, Nick Schneider, David Pfeiffer, Markus Enzweiler, J. Marius Zöllner
2018	—	`conf`	Improved Semantic Stixels via Multimodal Sensor Fusion. GCPR Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Marius Zöllner
2018	J	`jnl`	Improved Semantic Stixels via Multimodal Sensor Fusion. CoRR Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Johann Marius Zöllner
2018	—	`—`	Stereoscopic methods for high-performance object detection and distance estimation : extending visual environment perception for intelligent vehicles Peter Pinggera
2017	B	`conf`	Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling. Intelligent Vehicles Symposium Sebastian Ramos, Stefan K. Gehrig, Peter Pinggera, Uwe Franke, Carsten Rother
2016	J	`jnl`	Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling. CoRR Sebastian Ramos, Stefan K. Gehrig, Peter Pinggera, Uwe Franke, Carsten Rother
2016	J	`jnl`	Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles. CoRR Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester
2016	A	`conf`	Lost and Found: detecting small road hazards for self-driving vehicles. IROS Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester
2016	—	`conf`	Semantically Guided Depth Upsampling. GCPR Nick Schneider, Lukas Schneider, Peter Pinggera, Uwe Franke, Marc Pollefeys, Christoph Stiller
2016	J	`jnl`	Semantically Guided Depth Upsampling. CoRR Nick Schneider, Lukas Schneider, Peter Pinggera, Uwe Franke, Marc Pollefeys, Christoph Stiller
2015	A	`conf`	High-performance long range obstacle detection using stereo vision. IROS Peter Pinggera, Uwe Franke, Rudolf Mester
2014	—	`conf`	Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice. ECCV (2) Peter Pinggera, David Pfeiffer, Uwe Franke, Rudolf Mester
2013	—	`conf`	Highly Accurate Depth Estimation for Objects at Large Distances. GCPR Peter Pinggera, Uwe Franke, Rudolf Mester
2012	A	`conf`	On Cross-Spectral Stereo Matching using Dense Gradient Features. BMVC Peter Pinggera, Toby P. Breckon, Horst Bischof