An Innovative Adaptive Cruise Control Method With Packet Dropout

To address the advanced driver assistant system (ADAS) in practical application with some packet dropouts, false alarms, false dismissals and disturbances, we propose a novel
$H_\infty $
observer-based method in this study, which enables object tracking and car-following. We first analyze the adaptive cruise and Radar tracking characteristics. Then, the adaptive cruise control (ACC) system with packet dropouts is modeled as a class of discrete-time linear switched system with four subsystems. Combining of switched system and
$H_\infty $
theory, the design criterion of the proposed
$H_{\infty }$
observer-based ACC is established. Lastly, four similar experiment scenarios are given to demonstrate the effectiveness of the proposed method.