no code implementations • 20 Jul 2023 • Tim Puphal, Julian Eggert
In this paper, we develop risk shadowing, a situation understanding method that allows us to go beyond single interactions by analyzing group interactions between three agents.
no code implementations • 6 Jun 2023 • Tim Puphal, Ryohei Hirano, Malte Probst, Raphael Wenzel, Akihito Kimata
In this paper, we therefore propose a warning system that uses human states in the form of driver errors and can warn users in some cases of upcoming risks several seconds earlier than the state of the art systems not considering human factors.
no code implementations • 14 Mar 2023 • Julian Eggert, Tim Puphal
In this paper, we compare three different model-based risk measures by evaluating their stengths and weaknesses qualitatively and testing them quantitatively on a set of real longitudinal and intersection scenarios.
no code implementations • 13 Mar 2023 • Florian Damerow, Yuda Li, Tim Puphal, Benedict Flade, Julian Eggert
Here, we concentrate on intersection scenarios that are difficult to access visually.
no code implementations • 13 Mar 2023 • Tim Puphal, Malte Probst, Julian Eggert
Risk assessment is a central element for the development and validation of Autonomous Vehicles (AV).
no code implementations • 13 Mar 2023 • Tim Puphal, Malte Probst, Yiyang Li, Yosuke Sakamoto, Julian Eggert
We consider the problem of correct motion planning for T-intersection merge-ins of arbitrary geometry and vehicle density.
no code implementations • 13 Mar 2023 • Tim Puphal, Raphael Wenzel, Benedict Flade, Malte Probst, Julian Eggert
Based on the results, we can further derive a novel filter architecture with multiple filter steps, for which risk models are recommended for each step, to further improve the robustness.