학술논문

Predictive Haptic Feedback for Obstacle Avoidance Based on Model Predictive Control.
Document Type
Article
Source
IEEE Transactions on Automation Science & Engineering. Jan2016, Vol. 13 Issue 1, p26-31. 6p.
Subject
*FEEDBACK control systems
*PREDICTIVE control systems
*OBSTACLE avoidance (Robotics)
*COLLISIONS (Physics)
*CONTROL theory (Engineering)
Language
ISSN
1545-5955
Abstract
New sensing and steering technologies enable safety systems that work with the driver to ensure a safe and collision-free vehicle trajectory using a shared control approach. These shared control systems must constantly balance the sometimes competing objectives of following the driver’s command and maintaining a feasible trajectory for the vehicle. This paper presents a novel technique for creating haptic steering feedback based on a prediction of the system’s need to intervene in the future. This feedback mirrors the tension between the two controller objectives of following the driver and maintaining a feasible path. The paper uses simulation and experiment to investigate the impact of varying the prediction horizon on system performance. A novel in-vehicle driver study based on decoupling visual and haptic cues demonstrates that this feedback provides a statistically significant improvement in response time and reduced time to collision (TTC) in an obstacle avoidance task. [ABSTRACT FROM AUTHOR]