Driver Intent Data Analysis & Classification

Driver intent prediction is required in order to prevent or alert other drivers maneuvers to avoid accidents. However, real-time information makes this task difficult to perform an early detection/classification of any driving changing behavior. In this work, a GPS and IMU data logging from a T-intersection has been analyzed and treated with the aim of obtaining the most discriminant qualitative behavior from the data available.