“Watch out!”: prediction-level intervention for automated driving

C Wang, M Krüger, CB Wiebel-Herboth - 12th International Conference …, 2020 - dl.acm.org
It seems that autonomous driving systems are substituting human responsibilities in the
driving task. However, this does not mean that vehicles should not interact with their driver …

Hybrid eyes: Design and evaluation of the prediction-level cooperative driving with a real-world automated driving system

C Wang, D Chu, M Martens, M Krüger… - Proceedings of the 14th …, 2022 - dl.acm.org
While automated driving systems (ADS) have progressed fast in recent years, there are still
various situations in which an ADS cannot perform as well as a human driver. Being able to …

PRORETA 5–building blocks for automated urban driving enhancing city road safety

C Popp, A Serov, F Glatzki, C Ziegler… - at …, 2024 - degruyter.com
In the joint research project PRORETA 5, building blocks for automated driving in urban
areas have been developed, implemented, and tested. The developed blocks involve an …

Asymmetry-based behavior planning for cooperation at shared traffic spaces

R Wenzel, M Probst, T Puphal… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
Many everyday traffic situations require cooperation among traffic participants to establish
the order in which they pass a shared part of the road. Behavior planners which do not take …

Automated driving in complex real-world scenarios using a scalable risk-based behavior generation framework

M Probst, R Wenzel, T Puphal… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
The task of driving autonomously is difficult due to the vast number of driving situations a
system may be facing. Especially higher levels of automation in less restricted scopes …

Introducing Risk Shadowing For Decisive and Comfortable Behavior Planning

T Puphal, J Eggert - 2023 IEEE 26th International Conference …, 2023 - ieeexplore.ieee.org
We consider the problem of group interactions in urban driving. State-of-the-art behavior
planners for selfdriving cars mostly consider each single agent-to-agent interaction …

Trajektorienplanung autonomer Fahrzeuge: Diskrete Lösungsmethode für urbane Szenarien

C Ziegler - 2023 - tuprints.ulb.tu-darmstadt.de
Autonomes Fahren wird die persönliche Mobilität der Zukunft maßgeblich verändern. Doch
bis diese Vision Wirklichkeit wird, ist noch einige Forschungs-und Entwicklungsarbeit nötig …

Severity Estimation for Risk-based Motion Planning

F Müller - 2023 - tuprints.ulb.tu-darmstadt.de
The goal of autonomous driving is to increase safety, benefit and comfort for all road users.
Above all, the area of risk perception is of central importance in preventing critical situations …

[PDF][PDF] Hybrid Eyes: Design and Evaluation of the Prediction-level Cooperative Driving with a Real-world Automated Driving System

D CHU, M MARTENS… - arXiv preprint arXiv …, 2022 - researchgate.net
Therefore, a fully functional prototype that we called Prediction-level Cooperative Automated
Driving system (PreCoAD), which integrates an established AD algorithm called" intelligent …

Driving Risk Models for Predicting, Planning and Warning

T Puphal - tuprints.ulb.tu-darmstadt.de
Automated cars and driver assistance systems constantly progress in complementing the
human user in many parts of the driving task. Prominent examples include car-following on a …