Publications (5)
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…
Learning An Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following
Ran Wei, Anthony D. McDonald, Alfredo Garcia +3
In this paper we introduce a general estimation methodology for learning a model of human perception and control in a sensorimotor control task based upon a finite set of demonstra…
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…
Being good (at driving): Characterizing behavioral expectations on automated and human driven vehicles
Laura Fraade-Blanar, Francesca Favarò, Johan Engstrom +4
For over a century, researchers have wrestled with how to define good driving behavior, and the debate has surfaced anew for automated vehicles (AVs). We put forth the concept of D…
Kinematic Characterization of Micro-Mobility Vehicles During Evasive Maneuvers
Paolo Terranova, Shu-Yuan Liu, Sparsh Jain +2
There is an increasing need to comprehensively characterize the kinematic performances of different Micromobility Vehicles (MMVs). This study aims to: 1) characterize the kinematic…