17 citations · 51 across the 27 of their papers we have counts for
10 papers · 1 filter
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…
Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics
Ross Greer, Akshay Gopalkrishnan, Maitrayee Keskar +1
This paper explores the representation of vehicle lights in computer vision and its implications for various tasks in the field of autonomous driving. Different specifications for…
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…
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction
Ross Greer, Nachiket Deo, Akshay Rangesh +2
To make safe transitions from autonomous to manual control, a vehicle must have a representation of the awareness of driver state; two metrics which quantify this state are the Obs…
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context
Ross Greer, Akshay Gopalkrishnan, Nachiket Deo +2
Detecting road traffic signs and accurately determining how they can affect the driver's future actions is a critical task for safe autonomous driving systems. However, various tra…
Ensemble Learning for Fusion of Multiview Vision with Occlusion and Missing Information: Framework and Evaluations with Real-World Data and Applications in Driver Hand Activity Recognition
Ross Greer, Mohan Trivedi
Multi-sensor frameworks provide opportunities for ensemble learning and sensor fusion to make use of redundancy and supplemental information, helpful in real-world safety applicati…