Predictive longitudinal vehicle control based on vehicle-to-infrastructure communication. - Bernhard Knauder; Michael Karner; Markus Schratter (ICCVE, 2014)

Optimization of the Braking Strategy for an Emergency Braking System by the Application of Machine Learning. - Markus Schratter; Sabine Amler; Paul Daman (Intelligent Vehicles Symposium, 2018)

Development of a Scenario Simulation Platform to Support Autonomous Driving Verification. - Christoph Pilz; Gerald Steinbauer; Markus Schratter; Daniel Watzenig (ICCVE, 2019)

Pedestrian Collision Avoidance System for Scenarios with Occlusions. - Markus Schratter; Maxime Bouton; Mykel J. Kochenderfer; Daniel Watzenig (IV, 2019)

Increased Accuracy For Fast Moving LiDARS: Correction of Distorted Point Clouds. - Tobias Renzler; Michael Stolz; Markus Schratter; Daniel Watzenig (I2MTC, 2020)

An Inverse Optimal Control Approach for Trajectory Prediction of Autonomous Race Cars. - Rudolf Reiter; Florian Messerer; Markus Schratter; Daniel Watzenig; Moritz Diehl (ECC, 2022)

Innovative Interaction Approach in IMM Filtering for Vehicle Motion Models With Unequal States Dimension. - Jasmina Zubaca; Michael Stolz; Richard Seeber; Markus Schratter; Daniel Watzenig (IEEE Trans. Veh. Technol., 2022)

Positional Accuracy Provided by State-of-the-Art Cooperative Awareness and Collective Perception. - Christoph Pilz; Alina Steinberger; Lukas Kuschnig; Markus Schratter; Thomas Neumayr; Gerald Steinbauer-Wagner (ITSC, 2023)

Multi-Object Tracking with Object Candidate Fusion for Camera and LiDAR Data. - Huilin Yin; Yu Lu; Jia Lin; Markus Schratter; Daniel Watzenig (ITSC, 2023)

Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach. - Max Peter Ronecker; Markus Schratter; Lukas Kuschnig; Daniel Watzenig (ICRA, 2024)