Accurate estimation of angular position and speed for a capacitive sensor based on an extended Kalman filter approach. - Gerald Steiner; Daniel Watzenig (ROSE, 2003)

Time optimal control of ultrasonic transducers for improved multiple object recognition. - Gerald Steiner; Daniel Watzenig; Bernhard Schweighofer (ROSE, 2004)

Signal modeling and analysis of profile reconstruction for dilute phase flow applications. - Hubert Zangl; Anton Fuchs; Daniel Watzenig (SIP, 2005)

Bayesian inference for inverse problems - statistical inversion. - Daniel Watzenig (Elektrotech. Informationstechnik, 2007)

Inverse Probleme in der Elektrotechnik. - Daniel Watzenig; Gerald Steiner (Elektrotech. Informationstechnik, 2007)

Verification and analysis of dependable automotive communication systems based on HW/SW co-simulation. - Michael Karner; Christian Steger; Reinhold Weiss; Eric Armengaud; Daniel Watzenig; Gernot Knoll (ETFA, 2008)

TEODACS : A new vision for testing dependable automotive communication systems. - Eric Armengaud; Daniel Watzenig; Christian Steger; Hubert Berger; Harald C. Gall; Felix Pfister; Markus Pistauer (SIES, 2008)

Prozess- und Zustandsüberwachung. - Gerald Steiner; Daniel Watzenig (Elektrotech. Informationstechnik, 2009)

Condition monitoring of Lithium-Ion Batteries for electric and hybrid electric vehicles. - Mikael Sternad; Martin Cifrain; Daniel Watzenig; Georg Brasseur; Martin Winter (Elektrotech. Informationstechnik, 2009)

Engine state monitoring and fault diagnosis of large marine diesel engines. - Daniel Watzenig; Martin S. Sommer; Gerald Steiner (Elektrotech. Informationstechnik, 2009)

Automotive Embedded Systems. - Daniel Watzenig; Eric Armengaud (Elektrotech. Informationstechnik, 2011)

Requirement identification for variability management in a co-simulation environment. - Andrea Leitner; Josef Zehetner; Philipp Toeglhofer; Daniel Watzenig (SPLC (1), 2012)

Investigation of the Influence of Non-E/E Safety Measures for the ASIL Determination. - Helmut Martin; Bernhard Winkler; Andrea Leitner; Alexander Thaler; Martin Cifrain; Daniel Watzenig (EUROMICRO-SEAA, 2013)

"Pedestrian in the loop": An approach using virtual reality. - Michael Hartmann; Marco Viehweger; Wim Desmet; Michael Stolz; Daniel Watzenig (ICAT, 2017)

Automated Driving. - Daniel Watzenig (ERCIM News, 2017)

PRYSTINE - PRogrammable sYSTems for INtelligence in AutomobilEs. - Norbert Druml; Georg Macher; Michael Stolz; Eric Armengaud; Daniel Watzenig; Christian Steger; Thomas Herndl; Andreas Eckel; Anna Ryabokon; Alfred Hoess; Sumeet S. Kumar; George Dimitrakopoulos 001; et al. (DSD, 2018)

Pedestrian in the loop: An approach using flying drones. - Michael Hartmann; Hernán Abaunza; Pedro Castillo; Michael Stolz; Daniel Watzenig (I2MTC, 2018)

Data-based reachability analysis for movement prediction of pedestrians and motion planning. - Michael Hartmann; Antonella Ferrara; Daniel Watzenig (ICVES, 2018)

Safe learning-based optimal motion planning for automated driving. - Zlatan Ajanovic; Bakir Lacevic; Georg Stettinger; Daniel Watzenig; Martin Horn (CoRR, 2018)

Concepts for improved availability and computational power in automated driving. - Stephanie Grubmüller; Georg Stettinger; Dragan Nesic; Daniel Watzenig (Elektrotech. Informationstechnik, 2018)

Automated driving. - Daniel Watzenig; Wolfgang Bösch (Elektrotech. Informationstechnik, 2018)

Fault-tolerant environmental perception architecture for robust automated driving. - Stephanie Grubmüller; Georg Stettinger; Miguel Ángel Sotelo; Daniel Watzenig (ICCVE, 2019)

Clock Synchronization in Context of the Distributed Co-Simulation Protocol. - Martin Krammer; Philipp Ferner; Daniel Watzenig (ICCVE, 2019)

Identification of performance limitations of sensing technologies for automated driving. - Helmut Martin; Bernhard Winkler; Stephanie Grubmüller; Daniel Watzenig (ICCVE, 2019)

Methods for Improving the Accuracy of the Virtual Assessment of Autonomous Driving. - Dominik Notz; Martin Sigl; Thomas Kühbeck; Sebastian Wagner 006; Korbinian Groh; Christoph Schütz; Daniel Watzenig (ICCVE, 2019)

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

Decentralized Dynamic Platooning Architecture with V2V Communication Tested in Omnet++. - Tobias Renzler; Michael Stolz; Daniel Watzenig (ICCVE, 2019)

A Novel Tuning Approach of the H∞ Filter for Longitudinal Tracking of Automated Vehicles. - Jasmina Zubaca; Michael Stolz; Daniel Watzenig (ICCVE, 2019)

Pedestrians Walking on Reachable Sets and Manifolds. - Michael Hartmann; Daniel Watzenig (ICM, 2019)

Optimal motion planning with reachable sets of vulnerable road users. - Michael Hartmann; Daniel Watzenig (IV, 2019)

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

Extraction and Assessment of Naturalistic Human Driving Trajectories from Infrastructure Camera and Radar Sensors. - Dominik Notz; Felix Becker; Thomas Kühbeck; Daniel Watzenig (CASE, 2020)

Simulation Framework for Platooning based on Gazebo and SUMO. - Kenan Ahmic; Anel Tahirbegovic; Adnan Tahirovic; Daniel Watzenig; Georg Stettinger (CAVS, 2020)

Validation and testing of the decentralized architecture for the occupancy grid filtering pipeline. - Kenan Softic; Haris Sikic; Amar Civgin; Georg Stettinger; Daniel Watzenig (CAVS, 2020)

Extended H∞ Filter Adaptation Based on Innovation Sequence for Advanced Ego-Vehicle Motion Estimation. - Jasmina Zubaca; Michael Stolz; Daniel Watzenig (CAVS, 2020)

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

A best practice for the lean development of automated driving function concepts to reduce integration risks. - Karin Tieber; Johannes Rumetshofer; Michael Stolz; Daniel Watzenig (ITSC, 2020)

Clustering of the Scenario Space for the Assessment of Automated Driving. - Jonas Kerber; Sebastian Wagner 006; Korbinian Groh; Dominik Notz; Thomas Kühbeck; Daniel Watzenig; Alois C. Knoll (IV, 2020)

Smooth Reference Line Generation for a Race Track with Gates based on Defined Borders. - Jasmina Zubaca; Michael Stolz; Daniel Watzenig (IV, 2020)

Numerical Analysis of Exponential and BIBS Stability for Linear Discrete Time-Variant Systems using Bohl Exponents. - Simon Genser; Georg Stettinger; Daniel Watzenig; Christian Pötzsche (MED, 2020)

Looking into the Path Future: Extending CAMs for Cooperative Event Handling. - Tobias Renzler; Michael Stolz; Daniel Watzenig (VTC Fall, 2020)

Effects of Sensor Cover Damages on Point Clouds of Automotive Lidar. - Birgit Schlager; Thomas Goelles; Daniel Watzenig (IEEE SENSORS, 2021)

Sub-optimal and robust path tracking: a geometric approach. - Karin Tieber; Johannes Rumetshofer; Michael Stolz; Daniel Watzenig (IROS, 2021)

Modeling Perception Errors of Automated Vehicles. - Martin Sigl; Christoph Schütz; Sebastian Wagner 006; Daniel Watzenig (VTC Spring, 2021)

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

A Robust Approach for Inter-Turn Fault Detection of PMSM Used for Autonomous Vehicles. - Maliheh Hashemi; Mohammad Ali Golkani; Daniel Watzenig (ICCVE, 2022)

Comparing a Linear Filter with a ML-based Approach for Modeling Perception Errors of Automated Vehicles. - Martin Sigl; Andreas Lebherz; Christoph Schütz; Sebastian Wagner 006; Daniel Watzenig (ICCVE, 2022)

Feudalistic Platooning: Subdivide Platoons, Unite Networks, and Conquer Efficiency and Reliability. - Tobias Renzler; Michael Stolz; Daniel Watzenig (Sensors, 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)

AGV Path Planning Using Curiosity-Driven Deep Reinforcement Learning. - Huilin Yin; Yinjia Lin; Jun Yan; Qian Meng; Karin Festl; Lukas Schichler; Daniel Watzenig (CASE, 2023)

Super-Twisting Algorithm-based Sliding Mode Observer for Open-Circuit Fault Diagnosis in PWM Voltage Source Inverter in an In-Wheel Motor Drive System. - Maliheh Hashemi; Michael Stolz; Daniel Watzenig (ICM, 2023)

Robust Tunable Trajectory Repairing for Autonomous Vehicles Using Bernstein Basis Polynomials and Path-Speed Decoupling. - Kailin Tong; Selim Solmaz; Martin Horn; Michael Stolz; Daniel Watzenig (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)

RL-based path planning for controller performance validation. - Lukas Schichler; Karin Festl; Michael Stolz; Daniel Watzenig (MED, 2023)

Dual-Weight Particle Filter for Radar-Based Dynamic Bayesian Grid Maps. - Max Peter Ronecker; Michael Stolz; Daniel Watzenig (MOST, 2023)

Taking Standardized C-ITS Communication to the next LEVEL - Lightweight and Extensible Vehicle-to-Everything Library. - Klaus Weinbauer; Tobias Renzler; Michael Stolz; Daniel Watzenig (WCNC, 2023)

Operational Design Domain-Driven Coverage for the Safety Argumentation of Automated Vehicles. - Patrick Weissensteiner; Georg Stettinger; Siddartha Khastgir; Daniel Watzenig (IEEE Access, 2023)

Performance of Graph Database Management Systems as route planning solutions for different data and usage characteristics. - Karin Festl; Patrick Promitzer; Daniel Watzenig; Huilin Yin (CoRR, 2023)

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

Deep Learning-Driven State Correction: A Hybrid Architecture for Radar-Based Dynamic Occupancy Grid Mapping. - Max Peter Ronecker; Xavier Diaz; Michael Karner; Daniel Watzenig (IV, 2024)

Robots Saving Lives: A Literature Review About Search and Rescue (SAR) in Harsh Environments. - Kailin Tong; Yuxi Hu; Berin Dikic; Selim Solmaz; Friedrich Fraundorfer; Daniel Watzenig (IV, 2024)

Random Network Distillation Based Deep Reinforcement Learning for AGV Path Planning. - Huilin Yin; Shengkai Su; Yinjia Lin; Pengju Zhen; Karin Festl; Daniel Watzenig (IV, 2024)

Gaussian Process Regression for an Accurate and Uncertainty-Aware Winding Insulation Degradation Prediction. - Maliheh Hashemi; Michael Stolz; Daniel Watzenig (IEEE Access, 2024)

Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving. - Jun Yan; Pengyu Wang; Danni Wang; Weiquan Huang; Daniel Watzenig; Huilin Yin (CoRR, 2024)

A Cost-Effective Approach to Smooth A* Path Planning for Autonomous Vehicles. - Lukas Schichler; Karin Festl; Selim Solmaz; Daniel Watzenig (CoRR, 2024)

Multi-Objective Path Tracking Control for Car-Like Vehicles With Differentially Bounded n-Smooth Output. - Karin Festl; Michael Stolz; Daniel Watzenig (IEEE Trans. Intell. Transp. Syst., 2024)

A Depth-Buffer-Based Lidar Model With Surface Normal Estimation. - Martin Kirchengast; Daniel Watzenig (IEEE Trans. Intell. Transp. Syst., 2024)

fROS: A Generic Fieldbus Framework for ROS. - Daniel Schneider; Ludwig Kastner; Bernhard Schick; Daniel Watzenig (IEEE Trans. Intell. Veh., 2024)

Attention-Augmented Inverse Reinforcement Learning with Graph Convolutions for Multi-Agent Task Allocation. - Huilin Yin; Zhikun Yang; Linchuan Zhang; Daniel Watzenig (CoRR, 2025)

WS-DETR: Robust Water Surface Object Detection through Vision-Radar Fusion with Detection Transformer. - Huilin Yin; Pengyu Wang; Senmao Li; Jun Yan; Daniel Watzenig (CoRR, 2025)

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring. - Raul David Dominguez Sanchez; Xavier Jair Diaz Ortiz; Xingcheng Zhou; Max Peter Ronecker; Michael Karner; Daniel Watzenig; Alois Knoll (CoRR, 2025)

A Data-Centric Approach to 3D Semantic Segmentation of Railway Scenes. - Nicolas Münger; Max Peter Ronecker; Xavier Diaz; Michael Karner; Daniel Watzenig; Jan Skaloud (CoRR, 2025)

Thermal-LiDAR Fusion for Robust Tunnel Localization in GNSS-Denied and Low-Visibility Conditions. - Lukas Schichler; Karin Festl; Selim Solmaz; Daniel Watzenig (CoRR, 2025)

Vision Foundation Model Embedding-Based Semantic Anomaly Detection. - Max Peter Ronecker; Matthew Foutter; Amine Elhafsi; Daniele Gammelli; Ihor Barakaiev; Marco Pavone 001; Daniel Watzenig (CoRR, 2025)