Reliable forecasting of the future behavior of road agents is a critical component to safe
planning in autonomous vehicles. Here, we represent continuous trajectories as sequences …

This paper describes Waymo's Collision Avoidance Testing (CAT) methodology: a scenario-
based testing method that evaluates the safety of the Waymo Driver Automated Driving …

Driver process models play a central role in the testing, verification, and development of
automated and autonomous vehicle technologies. Prior models developed from control …

Driver models are crucial for the safety assessment of autonomous vehicles (AVs) because
of their role as reference models. Specifically, an AV is expected to achieve at least the …

Driver models play a vital role in developing and verifying autonomous vehicles (AVs).
Previously, they were mainly applied in traffic flow simulation to model driver behavior. With …

The quantitative measurement of how and when we experience surprise has mostly
remained limited to laboratory studies, and its extension to naturalistic settings has been …

The upcoming introduction of automated vehicles is expected to reduce the incidence of
traffic accidents caused by human error. However, conditionally automated driving faces a …

For the foreseeable future, automated vehicles (AVs) will coexist on the roads with human
drivers. To avoid accidents, AVs will require knowledge on how human drivers typically …

Objective Our objectives were to assess the efficacy of active inference models for capturing
driver takeovers from automated vehicles and to evaluate the links between model …

The aim of a successful conflict typology (also sometimes called crash or maneuver
typology) is to group conflicts, some of which may result in a collision, into groups that have …