activity
20202025
most citedBuilding a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk

15 citations · 22 across the 5 of their papers we have counts for

collaborators

7 papers

cs.SE2025

Assessing a Safety Case: Bottom-up Guidance for Claims and Evidence Evaluation

Scott Schnelle, Francesca Favaro, Laura Fraade-Blanar +3

As Automated Driving Systems (ADS) technology advances, ensuring safety and public trust requires robust assurance frameworks, with safety cases emerging as a critical tool toward…

cs.SE2025

Determining Absence of Unreasonable Risk: Approval Guidelines for an Automated Driving System Deployment

Francesca Favaro, Scott Schnelle, Laura Fraade-Blanar +6

This paper provides an overview of how the determination of absence of unreasonable risk can be operationalized. It complements previous theoretical work published by existing deve…

cs.CY2023★ 4 cited

ADS Standardization Landscape: Making Sense of its Status and of the Associated Research Questions

Scott Schnelle, Francesca M. Favaro

Automated Driving Systems (ADS) hold great potential to increase safety, mobility, and equity. However, without public acceptance, none of these promises can be fulfilled. To engen…

cs.SE2023★ 3 cited

Interpreting Safety Outcomes: Waymo's Performance Evaluation in the Context of a Broader Determination of Safety Readiness

Francesca M. Favaro, Trent Victor, Henning Hohnhold +1

This paper frames recent publications from Waymo within the broader context of the safety readiness determination for an Automated Driving System (ADS). Starting from a brief overv…

cs.CY2023★ 15 cited

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…

cs.RO2022

Collision Avoidance Testing of the Waymo Automated Driving System

Kristofer D. Kusano, Kurt Beatty, Scott Schnelle +3

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 Systems'…

cs.RO2020

Model Predictive Instantaneous Safety Metric for Evaluation of Automated Driving Systems

Bowen Weng, Sughosh J. Rao, Eeshan Deosthale +2

Vehicles with Automated Driving Systems (ADS) operate in a high-dimensional continuous system with multi-agent interactions. This continuous system features various types of traffi…