activity
20202026
most citedSystematic Analysis of the Sensor Coverage of Automated Vehicles Using Phenomenological Sensor Models

21 citations · 52 across the 29 of their papers we have counts for

collaborators

30 papers

cs.RO2026

Mitigating Concept Drift in QoS Prediction for Teleoperation of Autonomous Vehicles Using Historic Data

Xiyan Su, Jianning Gao, Mahmoud Ashri +1

Teleoperation serves as the fallback solution to autonomous driving but reliable functions of the teleoperation require a certain amount of mobile network resources, which cannot b…

cs.CV2026

Is Energy Guidance All You Need? Training-Free Norm Injection for Driving World Models

Xiyan Su, Frank Diermeyer, Markus Lienkamp

Driving world models built on large video-diffusion backbones generate realistic scenes but are hard to control: enforcing a traffic norm typically means retraining the backbone or…

cs.HC2026

Towards a Joint Understanding of Remote Operation for Vehicles in Public Road Traffic

Elisabeth Shi, Maria-Magdalena Wolf, Nina Theobald +9

Sustained driving automation systems are envisioned to be used as the foundation for driverless mobility services. However, both researchers and practitioners acknowledge that curr…

cs.HC2026

Driving Through the Network: Performance and Workload Under Latency and Video Impairment

Ines Trautmannsheimer, Ahmed Azab, Frank Diermeyer

Teleoperation promises to extend the operational envelope of automated vehicles, yet it critically depends on network latency and video quality. We report a fixed-base driving-simu…

cs.HC2026

Beyond VMAF: Towards Application-Specific Metrics for Teleoperation Video

Ines Trautmannsheimer, Richard Grauberger, Frank Diermeyer

Automated driving has made remarkable progress, yet situations still arise where human intervention is necessary. Teleoperation provides a scalable solution to address such cases,…

cs.RO2026

Belief-Space Residual Risk for Automated Driving under Localization Uncertainty

Nijinshan Karunainayagam, Nils Gehrke, Frank Diermeyer

Residual risk metrics have recently been introduced to assess the safety implications of automated driving systems. Existing approaches typically assume a deterministic ego pose an…

cs.RO2025

vEDGAR -- Can CARLA Do HiL?

Nils Gehrke, David Brecht, Dominik Kulmer +2

Simulation offers advantages throughout the development process of automated driving functions, both in research and product development. Common open-source simulators like CARLA a…

cs.RO2025★ 10 cited

TUM Teleoperation: Open Source Software for Remote Driving and Assistance of Automated Vehicles

Tobias Kerbl, David Brecht, Nils Gehrke +8

Teleoperation is a key enabler for future mobility, supporting Automated Vehicles in rare and complex scenarios beyond the capabilities of their automation. Despite ongoing researc…

cs.HC2025

A User-Centered Teleoperation GUI for Automated Vehicles: Identifying and Evaluating Information Requirements for Remote Driving and Assistance

Maria-Magdalena Wolf, Henrik Schmidt, Michael Christl +2

Teleoperation emerged as a promising fallback for situations beyond the capabilities of automated vehicles. Nevertheless, teleoperation still faces challenges, such as reduced situ…

cs.HC2025

Control Center Framework for Teleoperation Support of Automated Vehicles on Public Roads

Maria-Magdalena Wolf, Niklas Krauss, Arwed Schmidt +1

Implementing a teleoperation system with its various actors and interactions is challenging and requires an overview of the necessary functions. This work collects all tasks that a…

cs.RO2025

Human-Aided Trajectory Planning for Automated Vehicles through Teleoperation and Arbitration Graphs

Nick Le Large, David Brecht, Willi Poh +3

Teleoperation enables remote human support of automated vehicles in scenarios where the automation is not able to find an appropriate solution. Remote assistance concepts, where op…

cs.AI2024

Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving

Gemb Kaljavesi, Xiyan Su, Frank Diermeyer

Online corner case detection is crucial for ensuring safety in autonomous driving vehicles. Current autonomous driving approaches can be categorized into modular approaches and end…

cs.RO2024

How to Drive -- An Ability-based Description of Autonomous, Remote and Human Driving

Florian Pfab, Nils Gehrke, Frank Diermeyer

The development of autonomous and remote-operated driving systems requires extensive stakeholder analyses, requirement engineering, and formalized system descriptions. This is nece…

cs.RO2024

Should Teleoperation Be like Driving in a Car? Comparison of Teleoperation HMIs

Maria-Magdalena Wolf, Richard Taupitz, Frank Diermeyer

Since Automated Driving Systems are not expected to operate flawlessly, Automated Vehicles will require human assistance in certain situations. For this reason, teleoperation offer…

cs.RO2024

Evaluation of Teleoperation Concepts to solve Automated Vehicle Disengagements

David Brecht, Nils Gehrke, Tobias Kerbl +5

Teleoperation is a popular solution to remotely support highly automated vehicles through a human remote operator whenever a disengagement of the automated driving system is presen…

cs.RO2024

CARLA-Autoware-Bridge: Facilitating Autonomous Driving Research with a Unified Framework for Simulation and Module Development

Gemb Kaljavesi, Tobias Kerbl, Tobias Betz +2

Extensive testing is necessary to ensure the safety of autonomous driving modules. In addition to component tests, the safety assessment of individual modules also requires a holis…

cs.RO2024

Trajectory Guidance: Enhanced Remote Driving of highly-automated Vehicles

Domagoj Majstorovic, Simon Hoffmann, Frank Diermeyer

Despite the rapid technological progress, autonomous vehicles still face a wide range of complex driving situations that require human intervention. Teleoperation technology offers…

cs.RO2023★ 14 cited

EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application

Phillip Karle, Tobias Betz, Marcin Bosk +31

While current research and development of autonomous driving primarily focuses on developing new features and algorithms, the transfer from isolated software components into an ent…

cs.RO2023★ 1 cited

Dynamic Collaborative Path Planning for Remote Assistance of Highly-Automated Vehicles

Domagoj Majstorovic, Frank Diermeyer

Given its increasing popularity in recent years, teleoperation technology is now recognized as a robust fallback solution for Automated Driving (AD). Remote Assistance (RA) represe…

cs.RO2022

Driverless road-marking Machines: Ma(r)king the Way towards the Future of Mobility

Domagoj Majstorovic, Frank Diermeyer

Driverless road maintenance could potentially be highly beneficial to all its stakeholders, with the key goals being increased safety for all road participants, more efficient traf…

cs.RO2022★ 5 cited

Survey on Teleoperation Concepts for Automated Vehicles

Domagoj Majstorovic, Simon Hoffmann, Florian Pfab +3

In parallel with the advancement of Automated Driving (AD) functions, teleoperation has grown in popularity over recent years. By enabling remote operation of automated vehicles, t…

cs.RO2022

Steering Action-aware Adaptive Cruise Control for Teleoperated Driving

Andreas Schimpe, Domagoj Majstorovic, Frank Diermeyer

In this paper, a steering action-aware Adaptive Cruise Control (ACC) approach for teleoperated road vehicles is proposed. In order to keep the vehicle in a safe state, the ACC appr…

cs.RO2021

Open Source Software for Teleoperated Driving

Andreas Schimpe, Johannes Feiler, Simon Hoffmann +2

Teleoperation allows a human operator to remotely interact with and control a mobile robot in a dangerous or inaccessible area. Besides well-known applications such as space explor…

eess.SY2021★ 1 cited

Systems-Theoretic Safety Assessment of Teleoperated Road Vehicles

Simon Hoffmann, Frank Diermeyer

Teleoperation is becoming an essential feature in automated vehicle concepts, as it will help the industry overcome challenges facing automated vehicles today. Teleoperation follow…