Mark Pfeiffer

Publication Activity (10 Years)

Years Active: 1995-2020
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Cluttered Environments

Top Venues

Int. J. Comput. Sci. Sport

IEEE Robotics Autom. Lett.

Publications

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) (2020)
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 (2019)
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) (2019)
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)
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)
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) (2018)
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 (2018)
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 (2018)
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 (2018)
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)
Guoxiang Zhou, Berta Bescós, Marcin Dymczyk, Mark Pfeiffer, José Neira, Roland Siegwart
Dynamic Objects Segmentation for Visual Localization in Urban Environments. CoRR (2018)
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) (2017)
Nico Messikommer, Simon Schaefer, Renaud Dubé, Mark Pfeiffer
Cone Detection using a Combination of LiDAR and Vision-based Machine Learning. CoRR (2017)
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 (2017)
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 (2017)
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)
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)
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 (2016)
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)
Jason Kong, Mark Pfeiffer, Georg Schildbach, Francesco Borrelli
Kinematic and dynamic vehicle models for autonomous driving control design. Intelligent Vehicles Symposium (2015)
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)
Gerhard Backfried, Christian Schmidt, Mark Pfeiffer, Gerald Quirchmayr, Markus Glanzer, Karin Rainer
Open Source Intelligence in Disaster Management. EISIC (2012)
Jürgen Perl, Mark Pfeiffer
PerPot DoMo: Antagonistic Meta-Model Processing two Concurrent Load Flows. Int. J. Comput. Sci. Sport 10 (2) (2010)
Mark Pfeiffer
Modeling the Relationship between Training and Performance - A Comparison of Two Antagonistic Concepts. Int. J. Comput. Sci. Sport 7 (2) (2008)
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)
Mark Pfeiffer, John Leaney
The Simple Reliable Monitor: A Formalisation of the Concept of a Safe Software Monitor. Aust. Comput. J. 27 (1) (1995)