Motion planning for connected automated vehicles at occluded intersections with infrastructure sensors
Motion planning at urban intersections that accounts for the situation context, handles
occlusions, and deals with measurement and prediction uncertainty is a major challenge on …
occlusions, and deals with measurement and prediction uncertainty is a major challenge on …
“Watch out!”: prediction-level intervention for automated driving
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 …
driving task. However, this does not mean that vehicles should not interact with their driver …
Analysis of the generalized intelligent driver model (GIDM) for uncontrolled intersections
K Kreutz, J Eggert - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
This paper proposes a Generalized Intelligent Driver Model (GIDM) as an extension of the
Intelligent Driver Model (IDM) and analyzes its applicability to model uncontrolled …
Intelligent Driver Model (IDM) and analyzes its applicability to model uncontrolled …
Online and predictive warning system for forced lane changes using risk maps
The survival analysis of driving trajectories allows for holistic evaluations of car-related risks
caused by collisions or curvy roads. This analysis has advantages over common Time-To-X …
caused by collisions or curvy roads. This analysis has advantages over common Time-To-X …
Hybrid eyes: Design and evaluation of the prediction-level cooperative driving with a real-world automated driving system
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 …
various situations in which an ADS cannot perform as well as a human driver. Being able to …
Addressing inequal risk exposure in the development of automated vehicles
M Dietrich - Ethics and information technology, 2021 - Springer
Automated vehicles (AVs) are expected to operate on public roads, together with non-
automated vehicles and other road users such as pedestrians or bicycles. Recent ethical …
automated vehicles and other road users such as pedestrians or bicycles. Recent ethical …
Probabilistic uncertainty-aware risk spot detector for naturalistic driving
Risk assessment is a central element for the development and validation of autonomous
vehicles. It comprises a combination of occurrence probability and severity of future critical …
vehicles. It comprises a combination of occurrence probability and severity of future critical …
Predicting parameters for modeling traffic participants
Accurately modeling the behavior of traffic participants is essential for safely and efficiently
navigating an autonomous vehicle through heavy traffic. We propose a method, based on …
navigating an autonomous vehicle through heavy traffic. We propose a method, based on …
A risk and comfort optimizing motion planning scheme for merging scenarios
J Müller, M Buchholz - 2019 IEEE Intelligent Transportation …, 2019 - ieeexplore.ieee.org
Motion planning for merging scenarios accounting for measurement and prediction
uncertainties is a major challenge on the way to autonomous driving. Classical methods …
uncertainties is a major challenge on the way to autonomous driving. Classical methods …
Comfortable priority handling with predictive velocity optimization for intersection crossings
We address the problem of motion planning for four-way intersection crossings with right-of-
ways. Road safety typically assigns liability to the follower in rear-end collisions and to the …
ways. Road safety typically assigns liability to the follower in rear-end collisions and to the …