Set-based prediction of traffic participants on arbitrary road networks

M Althoff, S Magdici - IEEE Transactions on Intelligent Vehicles, 2016 - ieeexplore.ieee.org
Safety is of paramount importance in automated driving. One of the main challenges
ensuring safety is the unknown future behavior of surrounding traffic participants. Previous …

Interaction-aware occupancy prediction of road vehicles

M Koschi, M Althoff - 2017 IEEE 20th International Conference …, 2017 - ieeexplore.ieee.org
A crucial capability of autonomous road vehicles is the ability to cope with the unknown
future behavior of surrounding traffic participants. This requires using non-deterministic …

SPOT: A tool for set-based prediction of traffic participants

M Koschi, M Althoff - 2017 IEEE Intelligent Vehicles …, 2017 - ieeexplore.ieee.org
Predicting the movement of other traffic participants is an integral part in the motion planning
of most automated road vehicles. While simple predictions, eg based on assuming constant …

Road occupancy prediction of traffic participants

M Althoff, D Heß, F Gambert - 16th International IEEE …, 2013 - ieeexplore.ieee.org
We predict the road occupancy of traffic participants for collision avoidance systems. The
occupancy sets are computed for consecutive time intervals and contain all reachable …

Comparison of Markov chain abstraction and Monte Carlo simulation for the safety assessment of autonomous cars

M Althoff, A Mergel - IEEE Transactions on Intelligent …, 2011 - ieeexplore.ieee.org
The probabilistic prediction of road traffic scenarios is addressed. One result is a
probabilistic occupancy of traffic participants, and the other result is the collision risk for …

Set-based prediction of traffic participants considering occlusions and traffic rules

M Koschi, M Althoff - IEEE Transactions on Intelligent Vehicles, 2020 - ieeexplore.ieee.org
Provably safe motion planning for automated road vehicles must ensure that planned
motions do not result in a collision with other traffic participants. This is a major challenge in …

Set-based prediction of pedestrians in urban environments considering formalized traffic rules

M Koschi, C Pek, M Beikirch… - 2018 21st international …, 2018 - ieeexplore.ieee.org
Set-based predictions can ensure the safety of planned motions, since they provide a
bounded region which includes all possible future states of nondeterministic models of other …

A framework for probabilistic generic traffic scene prediction

Y Hu, W Zhan, M Tomizuka - 2018 21st International …, 2018 - ieeexplore.ieee.org
In a given scenario, simultaneously and accurately predicting every possible interaction of
traffic participants is an important capability for autonomous vehicles. The majority of current …

Human-like decision-making for automated driving in highways

DS González, M Garzón, JS Dibangoye… - 2019 IEEE intelligent …, 2019 - ieeexplore.ieee.org
In this work, we present a decision-making system for automated vehicles driving in highway
environments. The task is modeled as a Partially Observable Markov Decision Process, in …

Multi-modal interaction-aware motion prediction at unsignalized intersections

V Trentin, A Artuñedo, J Godoy… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Autonomous vehicle technologies have evolved quickly over the last few years, with safety
being one of the key requirements for their full deployment. However, ensuring their safety …