Analysis of Lane Departure Crashes Leveraging Advanced Driver Assistive Systems (ADAS) Machine Vision Sensing Data PROBLEM

The goal of this research is to develop a new technical framework to quantify contribution factors of lane departure crashes in Washington leveraging emerging machine vision data collected by Advanced Driver Assistive Systems (ADAS)-equipped vehicles. Under this goal, the research teams (WSU and VSI lab) aim to achieve three specific objectives: (1) collect machine vision data using ADAS-equipped vehicles; (2) develop methods to retrieve lane marking and other road conditions from the collected machine vision data; and (3) quantify contributions of different factors in lane departure crashes.