15 citations · 27 across the 8 of their papers we have counts for
8 papers
Emotion in an active inference model of human driving
Julian F. Schumann, Johan Engström, Ran Wei +3
Active inference has emerged as a principled framework for modeling adaptive behavior by balancing goal-directed action with uncertainty reduction. It has been successfully applied…
Resolving space-sharing conflicts in road user interactions through uncertainty reduction: An active inference-based computational model
Julian F. Schumann, Johan Engström, Ran Wei +3
Understanding how road users resolve space-sharing conflicts is important both for traffic safety and the safe deployment of autonomous vehicles. While existing models have capture…
The Field of Safe Motion: Operationalizing Affordances in the Field of Safe Travel Using Reachability Analysis
Leif Johnson, Trent Victor, Johan Engström
We present the Field of Safe Motion (FSM), a quantitative safety model for determining whether a driver maintains a collision-free escape route, or "out," at any given moment by ac…
Active inference as a unified model of collision avoidance behavior in human drivers
Julian F. Schumann, Johan Engström, Leif Johnson +4
Collision avoidance -- involving a rapid threat detection and quick execution of the appropriate evasive maneuver -- is a critical aspect of driving. However, existing models of hu…
Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference
Johan Engström, Ran Wei, Anthony McDonald +3
Understanding adaptive human driving behavior, in particular how drivers manage uncertainty, is of key importance for developing simulated human driver models that can be used in t…
Building a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk
Francesca Favaro, Laura Fraade-Blanar, Scott Schnelle +6
This paper presents an overview of Waymo's approach to building a reliable case for safety - a novel and thorough blueprint for use by any company building fully autonomous driving…
Measuring Surprise in the Wild
Azadeh Dinparastdjadid, Isaac Supeene, Johan Engstrom
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 challengi…
Modeling road user response timing in naturalistic settings: a surprise-based framework
Johan Engström, Shu-Yuan Liu, Azadeh Dinparastdjadid +1
There is currently no established method for evaluating human response timing across a range of naturalistic traffic conflict types. Traditional notions derived from controlled exp…