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2020 – today
- 2020
[j8]Juraj Kabzan
, Miguel de la Iglesia Valls, Victor J. F. Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart:
AMZ Driverless: The full autonomous racing system. J. Field Robotics 37(7): 1267-1294 (2020)
2010 – 2019
- 2019
- [j7]Melanie Ludwig, Alexander Asteroth, Christian Rasche, Mark Pfeiffer:
Including the Past: Performance Modeling Using a Preload Concept by Means of the Fitness-Fatigue Model. Int. J. Comput. Sci. Sport 18(1): 115-134 (2019) - [c9]Nikhil Bharadwaj Gosala, Andreas Bühler, Manish Prajapat, Claas Ehmke, Mehak Gupta, Ramya Sivanesan, Abel Gawel, Mark Pfeiffer, Mathias Bürki, Inkyu Sa, Renaud Dubé, Roland Siegwart:
Redundant Perception and State Estimation for Reliable Autonomous Racing. ICRA 2019: 6561-6567 - [c8]Fabio Ruetz, Emili Hernández, Mark Pfeiffer, Helen Oleynikova, Mark Cox, Thomas Lowe, Paulo V. K. Borges:
OVPC Mesh: 3D Free-space Representation for Local Ground Vehicle Navigation. ICRA 2019: 8648-8654 - [i9]Juraj Kabzan, Miguel de la Iglesia Valls, Victor Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart:
AMZ Driverless: The Full Autonomous Racing System. CoRR abs/1905.05150 (2019) - 2018
- [j6]Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart, Juan I. Nieto:
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations. IEEE Robotics Autom. Lett. 3(4): 4423-4430 (2018) - [c7]Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments. ICRA 2018: 1-8 - [i8]Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart, Juan I. Nieto:
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations. CoRR abs/1805.07095 (2018) - [i7]Guoxiang Zhou, Berta Bescós, Marcin Dymczyk, Mark Pfeiffer, José Neira, Roland Siegwart:
Dynamic Objects Segmentation for Visual Localization in Urban Environments. CoRR abs/1807.02996 (2018) - [i6]Nikhil Bharadwaj Gosala, Andreas Bühler, Manish Prajapat, Claas Ehmke, Mehak Gupta, Ramya Sivanesan, Abel Gawel, Mark Pfeiffer, Mathias Bürki, Inkyu Sa, Renaud Dubé, Roland Siegwart:
Redundant Perception and State Estimation for Reliable Autonomous Racing. CoRR abs/1809.10099 (2018) - [i5]Fabio Ruetz, Emili Hernández, Mark Pfeiffer, Helen Oleynikova, Mark Cox, Thomas Lowe, Paulo V. K. Borges:
OVPC Mesh: 3D Free-space Representation for Local Ground Vehicle Navigation. CoRR abs/1811.10266 (2018) - 2017
- [j5]Dorothea Kolossa, M. A. Bin Azhar, Christian Rasche, Stefan Endler, F. Hanakam, Alexander Ferrauti, Mark Pfeiffer:
Performance Estimation using the Fitness-Fatigue Model with Kalman Filter Feedback. Int. J. Comput. Sci. Sport 16(2): 117-129 (2017) - [c6]Mark Pfeiffer, Michael Schaeuble, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots. ICRA 2017: 1527-1533 - [i4]Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
A Data-driven Model for Interaction-aware Pedestrian Motion Prediction in Object Cluttered Environments. CoRR abs/1709.08528 (2017) - [i3]Niklas Funk, Nikhilesh Alatur, Robin Deuber, Frederick Gonon, Nico Messikommer, Julian Nubert, Moritz Patriarca, Simon Schaefer, Dominic Scotoni, Nicholas Bünger, Renaud Dubé, Raghav Khanna, Mark Pfeiffer, Erik Wilhelm, Roland Siegwart:
Autonomous Electric Race Car Design. CoRR abs/1711.00548 (2017) - [i2]Nico Messikommer, Simon Schaefer, Renaud Dubé, Mark Pfeiffer:
Cone Detection using a Combination of LiDAR and Vision-based Machine Learning. CoRR abs/1711.02079 (2017) - 2016
- [c5]Mark Pfeiffer, Ulrich Schwesinger, Hannes Sommer, Enric Galceran, Roland Siegwart:
Predicting actions to act predictably: Cooperative partial motion planning with maximum entropy models. IROS 2016: 2096-2101 - [i1]Mark Pfeiffer, Michael Schaeuble, Juan I. Nieto, Roland Siegwart, Cesar Cadena:
From Perception to Decision: A Data-driven Approach to End-to-end Motion Planning for Autonomous Ground Robots. CoRR abs/1609.07910 (2016) - 2015
- [c4]Rauno Álvaro de Paula Simola, Christian Raeder, Michael Kellmann, Tim Meyer, Mark Pfeiffer, Alexander Ferrauti:
Reliability and External Validity of Tensiomyography Measurements Following Strength Exercise. icSPORTS 2015: 174-178 - [c3]Jason Kong, Mark Pfeiffer, Georg Schildbach, Francesco Borrelli:
Kinematic and dynamic vehicle models for autonomous driving control design. Intelligent Vehicles Symposium 2015: 1094-1099 - 2013
- [c2]Gerhard Backfried, Johannes Göllner, Gerald Quirchmayr, Karin Rainer, Gert Kienast, Georg Thallinger, Christian Schmidt, Mark Pfeiffer, Christian Meurers, Andreas Peer:
Cross-Media Analysis for Communication during Natural Disasters. IAIT 2013: 13-22 - 2012
- [c1]Gerhard Backfried, Christian Schmidt, Mark Pfeiffer, Gerald Quirchmayr, Markus Glanzer, Karin Rainer:
Open Source Intelligence in Disaster Management. EISIC 2012: 254-258 - 2010
- [j4]Jürgen Perl, Mark Pfeiffer:
PerPot DoMo: Antagonistic Meta-Model Processing two Concurrent Load Flows. Int. J. Comput. Sci. Sport 10(2) (2010) - [p1]Mark Pfeiffer, Christian Schrot:
Simulative Trainingswirkungsanalyse mit dem Performance-Potential-Modell (PerPot) am Beispiel des Radsports. Sportinformatik gestern, heute, morgen 2010: 143-154
2000 – 2009
- 2008
- [j3]Mark Pfeiffer:
Modeling the Relationship between Training and Performance - A Comparison of Two Antagonistic Concepts. Int. J. Comput. Sci. Sport 7(2) (2008) - 2006
- [j2]Mark Pfeiffer, Jürgen Perl:
Analysis of Tactical Structures in Team Handball by Means of Artificial Neural Networks. Int. J. Comput. Sci. Sport 5(1) (2006)
1990 – 1999
- 1995
- [j1]Mark Pfeiffer, John Leaney:
The Simple Reliable Monitor: A Formalisation of the Concept of a Safe Software Monitor. Aust. Comput. J. 27(1): 9-15 (1995)
Coauthor Index
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