Auxiliary Steering Control of Vehicle Driving with Force/Haptic Guidance

The rapid development of the automobile industry has resulted in many vehicles, increased traffic, and frequent accidents. complexity road conditions is a major contributor to occurrence traffic Drivers are distracted hence unable fully observe all information make optimal timely driving decisions. This study proposes an auxiliary steering control system with force/tactile guidance (ASCFT) its corresponding strategy address this problem. We combined vehicle autonomous path planning based on condition human–machine sharing strategy, which integrated manipulative force driver virtual wheel. Consequently, ASCFT eliminated mechanical connection between wheel wheels favor force/tactile-assisted structure, providing sense information. Additionally, we proposed smooth trajectory optimization method improved RRT algorithm path-following controller forecast achieve safety driving. ASCFT’s performance was confirmed through constructing fixed-base simulator experimental platform ASCFT. results revealed that at speed 60 km/h handwheel rotation 60°, instantly released turned back about 3.5 s. Furthermore, predictive haptic feedback warned upcoming obstacle.