The Simple Reliable Monitor: A Formalisation of the Concept of a Safe Software Monitor. - Mark Pfeiffer; John Leaney (Aust. Comput. J., 1995)

Analysis of Tactical Structures in Team Handball by Means of Artificial Neural Networks. - Mark Pfeiffer; Jürgen Perl (Int. J. Comput. Sci. Sport, 2006)

Modeling the Relationship between Training and Performance - A Comparison of Two Antagonistic Concepts. - Mark Pfeiffer (Int. J. Comput. Sci. Sport, 2008)

Simulative Trainingswirkungsanalyse mit dem Performance-Potential-Modell (PerPot) am Beispiel des Radsports. - Mark Pfeiffer; Christian Schrot (Sportinformatik gestern, heute, morgen, 2010)

PerPot DoMo: Antagonistic Meta-Model Processing two Concurrent Load Flows. - Jürgen Perl; Mark Pfeiffer (Int. J. Comput. Sci. Sport, 2010)

Open Source Intelligence in Disaster Management. - Gerhard Backfried; Christian Schmidt 005; Mark Pfeiffer; Gerald Quirchmayr; Markus Glanzer; Karin Rainer (EISIC, 2012)

Cross-Media Analysis for Communication during Natural Disasters. - Gerhard Backfried; Johannes Göllner; Gerald Quirchmayr; Karin Rainer; Gert Kienast; Georg Thallinger; Christian Schmidt 005; Mark Pfeiffer; Christian Meurers; Andreas Peer (IAIT, 2013)

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 (icSPORTS, 2015)

Kinematic and dynamic vehicle models for autonomous driving control design. - Jason Kong; Mark Pfeiffer; Georg Schildbach; Francesco Borrelli (Intelligent Vehicles Symposium, 2015)

Predicting actions to act predictably: Cooperative partial motion planning with maximum entropy models. - Mark Pfeiffer; Ulrich Schwesinger; Hannes Sommer; Enric Galceran; Roland Siegwart (IROS, 2016)

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 001; Roland Siegwart; Cesar Cadena 001 (ICRA, 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; et al. (CoRR, 2017)

Cone Detection using a Combination of LiDAR and Vision-based Machine Learning. - Nico Messikommer; Simon Schaefer; Renaud Dubé; Mark Pfeiffer (CoRR, 2017)

Performance Estimation using the Fitness-Fatigue Model with Kalman Filter Feedback. - Dorothea Kolossa; M. A. Bin Azhar; Christian Rasche; Stefan Endler 001; F. Hanakam; Alexander Ferrauti; Mark Pfeiffer (Int. J. Comput. Sci. Sport, 2017)

A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments. - Mark Pfeiffer; Giuseppe Paolo; Hannes Sommer; Juan I. Nieto 001; Roland Siegwart; Cesar Cadena 001 (ICRA, 2018)

Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations. - Mark Pfeiffer; Samarth Shukla; Matteo Turchetta; Cesar Cadena 001; Andreas Krause 001; Roland Siegwart; Juan I. Nieto 001 (CoRR, 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 Mapless Navigation by Leveraging Prior Demonstrations. - Mark Pfeiffer; Samarth Shukla; Matteo Turchetta; Cesar Cadena 001; Andreas Krause 001; Roland Siegwart; Juan I. Nieto 001 (IEEE Robotics Autom. Lett., 2018)

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 (ICRA, 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 (ICRA, 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)

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; et al. (J. Field Robotics, 2020)