Martin Rudigier

ORCID: 0000-0003-1759-096X
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About
Contact & Profiles
Research Areas
  • Autonomous Vehicle Technology and Safety
  • Vehicle Dynamics and Control Systems
  • Real-time simulation and control systems
  • Traffic control and management
  • Vehicular Ad Hoc Networks (VANETs)
  • Vehicle emissions and performance
  • Traffic Prediction and Management Techniques
  • Automotive and Human Injury Biomechanics
  • Transportation and Mobility Innovations
  • Automated Road and Building Extraction
  • Remote Sensing and LiDAR Applications
  • Robotic Path Planning Algorithms
  • Transport and Logistics Innovations
  • Radioactive element chemistry and processing
  • IPv6, Mobility, Handover, Networks, Security
  • Network Traffic and Congestion Control
  • Simulation Techniques and Applications
  • Transportation Systems and Logistics
  • Vehicle License Plate Recognition
  • Urban and Freight Transport Logistics
  • Nuclear Physics and Applications
  • Superconducting Materials and Applications
  • Transportation Safety and Impact Analysis
  • Nuclear reactor physics and engineering
  • transportation and logistics systems

Virtual Vehicle (Austria)
2009-2024

We have used the recoil distance Doppler-shift method to measure lifetimes of excited states in \(^{108}\mathrm {Ru}\), \(^{110}\mathrm and \(^{112}\mathrm {Ru}\). Excited these nuclei were populated by fusion–fission reactions between a \(^{238}\)U beam \(^{9}\)Be target an experiment at GANIL. Fission fragments identified event VAMOS++ spectrometer, while \(\gamma \)-rays detected Advanced Gamma Tracking Array (AGATA). The ground state band are consistent with rotational structures...

10.5506/aphyspolbsupp.18.2-a22 article EN Acta Physica Polonica B Proceedings Supplement 2025-04-10

This paper introduces a novel vehicle-in-the-loop testing methodology called “Hybrid Testing”, which enables the evaluation of real vehicle in virtual traffic scenario an enclosed proving ground with simulated components and sensor signals. Among other benefits, introduced is particularly suited to test verify ADAS functions scenarios, would otherwise be very difficult create world. Development require extensive validation prior deployment generally, exhaustive real-life such systems not...

10.1109/iv47402.2020.9304811 article EN 2022 IEEE Intelligent Vehicles Symposium (IV) 2020-10-19

This paper describes a method to analyse and evaluate different trajectory planning methods controller types for usage in automated vehicles. Its application is shown by using novel approach considering comfort aspects (based on Rapidly Exploring Random Tree (RRT)), two controllers follow the planned path (cascade flatness based controller) simulation obtain resulting lateral vehicle accelerations. The used plan drive through roundabout. It can be seen that accelerations of controller-driven...

10.1080/00423114.2018.1551553 article EN Vehicle System Dynamics 2018-12-10

Automated vehicles we have on public roads today are capable of up to SAE Level-3 conditional autonomy according the J3016 Standard taxonomy, where driver is main responsible for driving safety. All decision-making processes system depend computations performed ego vehicle and utilizing only on-board sensor information, mimicking perception a human driver. It can be conjectured that higher levels autonomy, information will not sufficient alone. Infrastructure assistance will, therefore,...

10.3390/electronics10172161 article EN Electronics 2021-09-04

Automated vehicles are expected to cause a paradigm shift in mobility and the way we travel. Particularly, increasing penetration rates of with automated driving functions will introduce new challenges such as excessive rutting. Lack wheel wander keeping lane center perfectly is lead road surface depression induced by vehicle platoons. Inspired this, EU project ESRIUM investigates infrastructure assisted routing recommendations. In this respect, specially designed ADAS being developed...

10.1109/iccve52871.2022.9742783 article EN 2022-03-07
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