Benchmarking behavior prediction models in gap acceptance scenarios

JF Schumann, J Kober… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Autonomous vehicles currently suffer from a time-inefficient driving style caused by
uncertainty about human behavior in traffic interactions. Accurate and reliable prediction …

Hierarchical assessment of safety requirements for configurations of autonomous driving systems

Y Luo, XY Zhang, P Arcaini, Z Jin… - 2022 IEEE 30th …, 2022 - ieeexplore.ieee.org
Autonomous Driving Systems (ADSs) are complex systems that must satisfy multiple safety
requirements. In particular cases, all the requirements cannot be satisfied at the same time …

A collision relationship-based driving behavior decision-making method for an intelligent land vehicle at a disorderly intersection via DRQN

L Yu, S Huo, K Li, Y Wei - Sensors, 2022 - mdpi.com
An intelligent land vehicle utilizes onboard sensors to acquire observed states at a
disorderly intersection. However, partial observation of the environment occurs due to …

Benchmark for models predicting human behavior in gap acceptance scenarios

JF Schumann, J Kober, A Zgonnikov - arXiv preprint arXiv:2211.05455, 2022 - arxiv.org
Autonomous vehicles currently suffer from a time-inefficient driving style caused by
uncertainty about human behavior in traffic interactions. Accurate and reliable prediction …

[PDF][PDF] Development of a Bayesian Network for Situation-Aware Lane Change Prediction based on the highD Dataset

M Wellstein - 2021 - researchgate.net
Autonomous driving on highways can be dangerous because other vehicles may perform a
cut-in maneuver in front of the ego vehicle, which requires an immediate emergency …

[PDF][PDF] Last point to react for collision avoidance in a robotized framework for autonomous driving verification

S Abdelwahab - 2019 - odr.chalmers.se
Autonomous driving has been lately the focus of the automotive industry for its potential to
improve traffic safety. In order to commercialize this promising technology, numerous tests …