Visual Integration of Language Models in Automotive Safety (VILMAS)

Improving the safety of our nation’s drivers and vulnerable highway users is a moral imperative. With the advent of cutting-edge artificial intelligence and machine learning (AI/ML) technology, we are on the precipice of a revolutionary leap in the ability to save lives, prevent injuries, and reduce costs through crash prevention via innovative research. Visual Integration of Language Models in Automotive Safety (VILMAS), leverages state-of-the-art approaches and advancements in object detection routines able to determine the mental and physical readiness of drivers as well as the potential impact to pedestrians or other road users. VILMAS uniquely offers a holistic and context-aware assessment of driver readiness from moment-to-moment within their individual driving situation combined with the ability to determine the potential impact of vulnerable road users external to the vehicle and driver being evaluated.