Mark Pfeiffer

According to our database, Mark Pfeiffer authored at least 22 papers between 1995 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

AMZ Driverless: The full autonomous racing system.

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

J. Field Robotics, 2020

2019

Including the Past: Performance Modeling Using a Preload Concept by Means of the Fitness-Fatigue Model.

Melanie Ludwig, Alexander Asteroth, Christian Rasche, Mark Pfeiffer

Int. J. Comput. Sci. Sport, 2019

OVPC Mesh: 3D Free-space Representation for Local Ground Vehicle Navigation.

Fabio Ruetz, Emili Hernández, Mark Pfeiffer, Helen Oleynikova, Mark Cox, Thomas Lowe, Paulo V. K. Borges

Proceedings of the International Conference on Robotics and Automation, 2019

Redundant Perception and State Estimation for Reliable Autonomous Racing.

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

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations.

Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart, Juan I. Nieto

IEEE Robotics Autom. Lett., 2018

Dynamic Objects Segmentation for Visual Localization in Urban Environments.

Guoxiang Zhou, Berta Bescós, Marcin Dymczyk, Mark Pfeiffer, José Neira, Roland Siegwart

CoRR, 2018

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations.

Mark Pfeiffer, Samarth Shukla, Matteo Turchetta, Cesar Cadena, Andreas Krause, Roland Siegwart, Juan I. Nieto

CoRR, 2018

A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments.

Mark Pfeiffer, Giuseppe Paolo, Hannes Sommer, Juan I. Nieto, Roland Siegwart, Cesar Cadena

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Performance Estimation using the Fitness-Fatigue Model with Kalman Filter Feedback.

Dorothea Kolossa, M. A. Bin Azhar, Christian Rasche, Stefan Endler, F. Hanakam, Alexander Ferrauti, Mark Pfeiffer

Int. J. Comput. Sci. Sport, 2017

Cone Detection using a Combination of LiDAR and Vision-based Machine Learning.

Nico Messikommer, Simon Schaefer, Renaud Dubé, Mark Pfeiffer

CoRR, 2017

Autonomous Electric Race Car Design.

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

CoRR, 2017

From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots.

Mark Pfeiffer, Michael Schaeuble, Juan I. Nieto, Roland Siegwart, Cesar Cadena

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Predicting actions to act predictably: Cooperative partial motion planning with maximum entropy models.

Mark Pfeiffer, Ulrich Schwesinger, Hannes Sommer, Enric Galceran, Roland Siegwart

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Kinematic and dynamic vehicle models for autonomous driving control design.

Jason Kong, Mark Pfeiffer, Georg Schildbach, Francesco Borrelli

Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Reliability and External Validity of Tensiomyography Measurements Following Strength Exercise.

Rauno Álvaro de Paula Simola, Christian Raeder, Michael Kellmann, Tim Meyer, Mark Pfeiffer, Alexander Ferrauti

Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support, 2015

2013

Cross-Media Analysis for Communication during Natural Disasters.

Gerhard Backfried, Johannes Göllner, Gerald Quirchmayr, Karin Rainer, Gert Kienast, Georg Thallinger, Christian Schmidt, Mark Pfeiffer, Christian Meurers, Andreas Peer

Proceedings of the Advances in Information Technology - 6th International Conference, 2013

2012

Open Source Intelligence in Disaster Management.

Gerhard Backfried, Christian Schmidt, Mark Pfeiffer, Gerald Quirchmayr, Markus Glanzer, Karin Rainer

Proceedings of the 2012 European Intelligence and Security Informatics Conference, 2012

2010

PerPot DoMo: Antagonistic Meta-Model Processing two Concurrent Load Flows.

Jürgen Perl, Mark Pfeiffer

Int. J. Comput. Sci. Sport, 2010

Simulative Trainingswirkungsanalyse mit dem Performance-Potential-Modell (PerPot) am Beispiel des Radsports.

Mark Pfeiffer, Christian Schrot

Proceedings of the Sportinformatik gestern, heute, morgen, 2010

2008

Modeling the Relationship between Training and Performance - A Comparison of Two Antagonistic Concepts.

Mark Pfeiffer

Int. J. Comput. Sci. Sport, 2008

2006

Analysis of Tactical Structures in Team Handball by Means of Artificial Neural Networks.

Mark Pfeiffer, Jürgen Perl

Int. J. Comput. Sci. Sport, 2006

1995

The Simple Reliable Monitor: A Formalisation of the Concept of a Safe Software Monitor.

Mark Pfeiffer, John Leaney

Aust. Comput. J., 1995