86 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Graz University of TechnologyAT8 papers
- University of SarajevoBA3 papers
- AIT Austrian Institute of Technology GmbHAT2 papers
- Anstalt für Verbrennungskraftmaschinen List (Austria)AT2 papers
- Delft University of TechnologyNL2 papers
- Aarhus UniversityDK1 paper
- Commonwealth Scientific and Industrial Research OrganisationAU1 paper
- Data61AU1 paper
- Engineering (Italy)IT1 paper
- Fondazione Bruno KesslerIT1 paper
- FortissDE1 paper
- Joanneum ResearchAT1 paper
18 papers
Reinforcement learning for safety-critical control of an automated vehicle
Florian Thaler, Franz Rammerstorfer, Jon Ander Gomez +3
We present our approach for the development, validation and deployment of a data-driven decision-making function for the automated control of a vehicle. The decisionmaking function…
A Multi-Heuristic Search-based Motion Planning for Automated Parking
Bhargav Adabala, Zlatan Ajanović
In unstructured environments like parking lots or construction sites, due to the large search-space and kinodynamic constraints of the vehicle, it is challenging to achieve real-ti…
Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions
Víctor J. Expósito Jiménez, Helmut Martin, Christian Schwarzl +2
Safety in the automotive domain is a well-known topic, which has been in constant development in the past years. The complexity of new systems that add more advanced components in…
State of the Art Study of the Safety Argumentation Frameworks for Automated Driving System Safety
Ilona Cieslik, Víctor J. Expósito Jiménez, Helmut Martin +2
The automotive industry is experiencing a transition from assisted to highly automated driving. New concepts for validation of Automated Driving System (ADS) include amongst other…
Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous Vehicles
Zlatan Ajanović, Enrico Regolin, Barys Shyrokau +3
To achieve optimal robot behavior in dynamic scenarios we need to consider complex dynamics in a predictive manner. In the vehicle dynamics community, it is well know that to achie…
Identification and Verification of Attack-Tree Threat Models in Connected Vehicles
Masoud Ebrahimi, Christoph Striessnig, Joaquim Castella Triginer +1
As a result of the ever-increasing application of cyber-physical components in the automotive industry, cybersecurity has become an urgent topic. Adapting technologies and communic…
An Inverse Optimal Control Approach for Trajectory Prediction of Autonomous Race Cars
Rudolf Reiter, Florian Messerer, Markus Schratter +2
This paper proposes an optimization-based approach to predict trajectories of autonomous race cars. We assume that the observed trajectory is the result of an optimization problem…
A Process to Facilitate Automated Automotive Cybersecurity Testing
Stefan Marksteiner, Nadja Marko, Andre Smulders +6
Modern vehicles become increasingly digitalized with advanced information technology-based solutions like advanced driving assistance systems and vehicle-to-x communications. These…
Dynamic Buffer Sizing for Out-of-Order Event Compensation for Time-Sensitive Applications
Wolfgang Weiss, Victor J. Exposito Jimenez, Herwig Zeiner
Today's sensor network implementations often comprise various types of nodes connected with different types of networks. These and various other aspects influence the delay of tran…
Evaluation of an indoor localization system for a mobile robot
Victor J. Exposito Jimenez, Christian Schwarzl, Helmut Martin
Although indoor localization has been a wide researched topic, obtained results may not fit the requirements that some domains need. Most approaches are not able to precisely local…
A Cloud-Based Collaboration Platform for Model-Based Design of Cyber-Physical Systems
Peter Gorm Larsen, Hugo Daniel Macedo, John Fitzgerald +6
Businesses, particularly small and medium-sized enterprises, aiming to start up in Model-Based Design (MBD) face difficult choices from a wide range of methods, notations and tools…
Overview of Tools Supporting Planning for Automated Driving
Kailin Tong, Zlatan Ajanovic, Georg Stettinger
Planning is an essential topic in the realm of automated driving. Besides planning algorithms that are widely covered in the literature, planning requires different software tools…
On the effect of stress dependent interparticle friction in direct shear tests
Bettina Suhr, Klaus Six
Contact friction is a key influence factor for the shearing behaviour of granular media. In the discrete element method (DEM) contact friction is usually modelled with Coulomb's la…
SpeedyChain: A framework for decoupling data from blockchain for smart cities
Regio A. Michelin, Ali Dorri, Roben C. Lunardi +4
There is increased interest in smart vehicles acting as both data consumers and producers in smart cities. Vehicles can use smart city data for decision-making, such as dynamic rou…
Safe learning-based optimal motion planning for automated driving
Zlatan Ajanovic, Bakir Lacevic, Georg Stettinger +2
This paper presents preliminary work on learning the search heuristic for the optimal motion planning for automated driving in urban traffic. Previous work considered search-based…
Search-based optimal motion planning for automated driving
Zlatan Ajanovic, Bakir Lacevic, Barys Shyrokau +2
This paper presents a framework for fast and robust motion planning designed to facilitate automated driving. The framework allows for real-time computation even for horizons of se…
A novel model-based heuristic for energy optimal motion planning for automated driving
Zlatan Ajanovic, Michael Stolz, Martin Horn
Predictive motion planning is the key to achieve energy-efficient driving, which is one of the main benefits of automated driving. Researchers have been studying the planning of ve…
Prediction of the vibroacoustic response of a structure-liner-fluid system based on a patch transfer function approach and direct experimental subsystem characterisation
Christopher G. Albert, Giorgio Veronesi, Eugène Nijman +1
The vibro-acoustic response of a structure-liner-fluid system is predicted by application of a patch impedance coupling methodology. In contrast to existing numerical approaches, i…