7 citations · 19 across the 10 of their papers we have counts for
10 papers
Vision-based Analysis of Driver Activity and Driving Performance Under the Influence of Alcohol
Ross Greer, Akshay Gopalkrishnan, Sumega Mandadi +3
About 30% of all traffic crash fatalities in the United States involve drunk drivers, making the prevention of drunk driving paramount to vehicle safety in the US and other locatio…
Robust Detection, Association, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations
Akshay Gopalkrishnan, Ross Greer, Maitrayee Keskar +1
Vehicle light detection, association, and localization are required for important downstream safe autonomous driving tasks, such as predicting a vehicle's light state to determine…
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations
Ross Greer, Akshay Gopalkrishnan, Jacob Landgren +3
One of the most important tasks for ensuring safe autonomous driving systems is accurately detecting road traffic lights and accurately determining how they impact the driver's act…
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis
Ross Greer, Samveed Desai, Lulua Rakla +3
It is critical for vehicles to prevent any collisions with pedestrians. Current methods for pedestrian collision prevention focus on integrating visual pedestrian detectors with Au…
CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems
Ross Greer, Lulua Rakla, Samveed Desai +3
Vehicles are constantly approaching and sharing the road with pedestrians, and as a result it is critical for vehicles to prevent any collisions with pedestrians. Current methods f…
(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework
Ross Greer, Lulua Rakla, Anish Gopalan +1
Manual (hand-related) activity is a significant source of crash risk while driving. Accordingly, analysis of hand position and hand activity occupation is a useful component to und…