Peter Pinggera

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Rudolf MesterNTNU Trondheim, NorwayVerified email at ntnu.no
Sebastian RamosCEO & Co-Founder @ TensoreyeVerified email at tensoreye.de
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Stefan GehrigDistinguished Scientist, Mercedes Benz AG, Lecturer Cooperate State University StuttgartVerified email at daimler.com
David PfeifferZoox IncVerified email at dltmail.de
J. Marius ZöllnerProfessor at Karlsruhe Institute of Technology (KIT), Director at Forschungszentrum Informatik (FZI)Verified email at fzi.de
Florian PiewakMercedes-Benz AG, Daimler AG, Karlsruhe Institut of Technology (KIT)Verified email at mercedes-benz.com
Nick SchneiderTorc.AIVerified email at nick-schneider.me
Markus EnzweilerProfessor of Computer Science, Esslingen University of Applied SciencesVerified email at hs-esslingen.de
Horst BischofGraz University of TechnologyVerified email at icg.tugraz.at
Toby P BreckonEngineering & Computer Science, Durham University, UKVerified email at durham.ac.uk
Marc PollefeysProfessor of Computer Science, ETH Zurich, and Director Spatial AI Lab, MicrosoftVerified email at inf.ethz.ch
Lukas SchneiderVerified email at schneiderdt.de
Christoph StillerProfessor of Measurement and Control Systems, Karlsruher Institut für Technologie, KIT, FZIVerified email at kit.edu
Manuel SchaeferDaimler AGVerified email at daimler.com

Peter Pinggera

Zenseact

Verified email at pinggera.net

Computer Vision 3D Lidar Data Processing Machine Intelligence Deep Neural Networks Autonomous


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling S Ramos, S Gehrig, P Pinggera, U Franke, C Rother IEEE Intelligent Vehicles Symposium (IV), 2017	359	2017
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles P Pinggera, S Ramos, S Gehrig, U Franke, C Rother, R Mester IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016	195	2016
Semantically Guided Depth Upsampling N Schneider, L Schneider, P Pinggera, U Franke, M Pollefeys, C Stiller German Conference on Pattern Recognition (GCPR), 2016	100	2016
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation SA Baur, DJ Emmerichs, F Moosmann, P Pinggera, B Ommer, A Geiger International Conference on Computer Vision (ICCV), 2021	93	2021
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation F Piewak, P Pinggera, M Schäfer, D Peter, B Schwarz, N Schneider, ... European Conference on Computer Vision (ECCV), Multimodal Learning and …, 2018	85	2018
On Cross-Spectral Stereo Matching using Dense Gradient Features P Pinggera, T Breckon, H Bischof British Machine Vision Conference (BMVC), 2012	82	2012
Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice P Pinggera, D Pfeiffer, U Franke, R Mester European Conference on Computer Vision (ECCV), 2014	58	2014
High-Performance Long Range Obstacle Detection Using Stereo Vision P Pinggera, U Franke, R Mester IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015	35	2015
Lost and found: detecting small road hazards for self-driving vehicles. In 2016 IEEE P Pinggera, S Ramos, S Gehrig, U Franke, C Rother, R Mester RSJ International Conference on Intelligent Robots and Systems (IROS), 1099-1106, 0	23
Improved Semantic Stixels via Multimodal Sensor Fusion F Piewak, P Pinggera, M Enzweiler, D Pfeiffer, M Zöllner German Conference on Pattern Recognition (GCPR), 2018	13	2018
Analyzing the cross-sensor portability of neural network architectures for lidar-based semantic labeling F Piewak, P Pinggera, M Zöllner 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3419-3426, 2019	10	2019
Highly Accurate Depth Estimation for Objects at Large Distances P Pinggera, U Franke, R Mester German Conference on Pattern Recognition (GCPR), 21-30, 2013	9	2013
VelocityNet: Motion-Driven Feature Aggregation for 3D Object Detection in Point Cloud Sequences D Emmerichs, P Pinggera, B Ommer IEEE International Conference on Robotics and Automation (ICRA), 2021	3	2021
Stereoscopic methods for high-performance object detection and distance estimation: extending visual environment perception for intelligent vehicles P Pinggera Universitätsbibliothek Johann Christian Senckenberg, 2018	1	2018
Stereoscopic Methods for High-Performance Object Detection and Distance Estimation P Pinggera Johann Wolfgang Goethe-Universität, 2018		2018

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