7 citations · 13 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset
Ross Greer, Jason Isa, Nachiket Deo +2
Safe path planning in autonomous driving is a complex task due to the interplay of static scene elements and uncertain surrounding agents. While all static scene elements are a sou…