activity
20182023
most citedComparison of Waymo Rider-Only Crash Data to Human Benchmarks at 7.1 Million Miles

42 citations · 107 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2023★ 20 cited

Benchmarks for Retrospective Automated Driving System Crash Rate Analysis Using Police-Reported Crash Data

John M. Scanlon, Kristofer D. Kusano, Laura A. Fraade-Blanar +3

With fully automated driving systems (ADS; SAE level 4) ride-hailing services expanding in the US, we are now approaching an inflection point, where the process of retrospectively…

cs.RO2023★ 42 cited

Comparison of Waymo Rider-Only Crash Data to Human Benchmarks at 7.1 Million Miles

Kristofer D. Kusano, John M. Scanlon, Yin-Hsiu Chen +4

This paper examines the safety performance of the Waymo Driver, an SAE level 4 automated driving system (ADS) used in a rider-only (RO) ride-hailing application without a human dri…

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.RO2018★ 30 cited

Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models

Sajan Patel, Brent Griffin, Kristofer Kusano +1

In the event of sensor failure, autonomous vehicles need to safely execute emergency maneuvers while avoiding other vehicles on the road. To accomplish this, the sensor-failed vehi…