Markus Schratter

According to our database, Markus Schratter authored at least 10 papers between 2014 and 2024.

Collaborative distances:

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

2024

Dynamic Occupancy Grids for Object Detection: A Radar-Centric Approach.

Max Peter Ronecker, Markus Schratter, Lukas Kuschnig, Daniel Watzenig

CoRR, 2024

2023

Multi-Object Tracking with Object Candidate Fusion for Camera and LiDAR Data.

Huilin Yin, Yu Lu, Jia Lin, Markus Schratter, Daniel Watzenig

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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

An Inverse Optimal Control Approach for Trajectory Prediction of Autonomous Race Cars.

Rudolf Reiter, Florian Messerer, Markus Schratter, Daniel Watzenig, Moritz Diehl

Proceedings of the European Control Conference, 2022

2020

Increased Accuracy For Fast Moving LiDARS: Correction of Distorted Point Clouds.

Tobias Renzler, Michael Stolz, Markus Schratter, Daniel Watzenig

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019

Pedestrian Collision Avoidance System for Scenarios with Occlusions.

Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Development of a Scenario Simulation Platform to Support Autonomous Driving Verification.

Christoph Pilz, Gerald Steinbauer, Markus Schratter, Daniel Watzenig

Proceedings of the 2019 IEEE International Conference on Connected Vehicles and Expo, 2019

2018

Optimization of the Braking Strategy for an Emergency Braking System by the Application of Machine Learning.

Markus Schratter, Sabine Amler, Paul Daman

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2014

Predictive longitudinal vehicle control based on vehicle-to-infrastructure communication.

Bernhard Knauder, Michael Karner, Markus Schratter

Proceedings of the International Conference on Connected Vehicles and Expo, 2014