A Lane Change Assistance System Based on Prediction of Driver Intention

TL;DR

This paper presents a lane change assistance system that predicts driver intentions to provide timely warnings, aiming to enhance safety by reducing collision risks during lane changes.

Contribution

It introduces a novel approach integrating driver intention prediction into lane change warnings, which was not addressed in prior studies.

Findings

Reduced collision risk during lane changes

Participants requested more advanced warnings

System effectively predicts driver intentions

Abstract

Lane change assistance system increase safety by providing warnings and other stability assistance to drivers to avert traffic dangers. In this contribution, lane change intention recognition was performed and applied to generate warnings for drivers to avoid eminent collision. Previous studies have not yet integrated driver's intended lane change actions as an input for determining when to warn drivers about eminent traffic dangers. Thus, if a driver's intended action may result in a collision, the driver should be warned in advance. In this contribution, lane change to left and right and lane keeping intentions were utilized to warn drivers of potential collision using an audio visual interface. The results indicate reduced risk of collision during lane change to left and right except lane keeping maneuvers. Moreover several participant feedback indicate an increased need for improved warnings by additional situational analysis that anticipate other vehicle behaviors such as intended lane changes.