Skip to content

Our Work

Project Gallery

We strive to share as much or our research as possible, with the hope the automotive industry can benefit from the findings of our safety advances. Explore our projects, and discover what we work on.

Photo of a car approaching a deer.

Animal Pre-Collision System PCS Test Scenarios

Active Safety, Crash Avoidance, Projects

A study to develop testing protocols for automotive PCS designed to prevent and mitigate animal-related vehicle crashes by examining crash data, collecting and analyzing naturalistic driving data, and radar scanning deer in order to better establish test parameters.

Read More

Guidelines for Development of Evidence-Based Countermeasures for Risky Driving

Active Safety, Crash Data Analysis/Data & Analysis, Projects

With GuDEC, we’ve created guidelines for risky driving countermeasures based in evidence, guided by behavior change theories, and leading to sustained behavioral change in drivers who regularly engage in risky or unsafe driving.

Read More
Illustration of car evaluating environment.

Mental Models of ADAS/ADS Technologies: Impacts on Consumer Education and Vehicle Design

Crash Data Analysis/Data & Analysis, Human Factors, Projects

Our goal is to determine the nature of, and variants of, drivers’ mental models of ADAS/ADS technologies and apply research findings to consumer education and vehicle design.

Read More
Illustration of car.

Identifying Risk Mitigation and Modeling of Driver Behaviors in Scenarios of Varying Complexities

Human Factors, Projects

For this project, our goal is to identify the driving context in which risk mitigation behaviors do occur.

Read More
Photo of car headlamps.

Adaptive Headlamp System Benefit Estimation

Crash Avoidance, Projects

Measure the response characteristics and estimated benefit with respect to reduction in injury/fatalities of adaptive headlamp systems that highlight detected pedestrians and bicyclists using both a driver and pedestrian/bicycle simulator study.

Read More

Investigation of In-Vehicle Cardiac Monitoring and Severe Event Prediction

Human Factors, Projects

Determining what safety systems should be implemented to mitigate accidents related to cardiac events, including driver warnings upon possible event detection and then a slowing of the vehicle and eventually full stop if no response is given.

Read More