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Found 4 papers, 1 papers with code
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations
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 actions.
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis
It is critical for vehicles to prevent any collisions with pedestrians.
(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework
Manual (hand-related) activity is a significant source of crash risk while driving.
CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems
Moreover, we use the number of correct advisories, false advisories, and missed advisories to define precision and recall performance metrics to evaluate CHAMP.
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