Intention-Based Lane Changing and Lane Keeping Haptic Guidance Steering System

Haptic guidance in a shared steering assistance system has drawn significant attention intelligent vehicle fields, owing to its mutual communication ability for control. By exerting continuous torque on the wheel, both driver and support can share lateral control of vehicle. However, current haptic systems demonstrate some deficiencies assisting lane changing. This study explored new interaction method, including design evaluation an intention-based system. Such method keeping changing assistance, by detecting driver's change intention. using deep learning-based model decision timing regarding crossing, adaptive gain was proposed realizing An intention consistency detect whether were acting towards same target trajectories accurately capture A driving simulator experiment conducted test performance. Participants required perform six trials with assistive methods one trial without assistance. The results demonstrated that supporting decreased departure risk tasks could fast stable maneuver.