Open AccessHuman–Machine Collaboration for Automated Driving Using an Intelligent Two‐Phase Haptic Interface
Author(s) -
Lv Chen,
Li Yutong,
Xing Yang,
Huang Chao,
Cao Dongpu,
Zhao Yifan,
Liu Yahui
Publication year - 2021
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202170040
Subject(s) - haptic technology , computer science , interface (matter) , human–machine interface , control (management) , torque , human–computer interaction , human–machine system , automation , simulation , engineering , artificial intelligence , operating system , mechanical engineering , physics , bubble , maximum bubble pressure method , thermodynamics
Automated Driving In article number 2000229 , Chen Lv and co‐workers propose a novel human‐machine collaboration system based on an intelligent haptic interface for addressing the takeover control problem for automated vehicles. The intelligent haptic torque is applied to the steering wheel and switches its functionality between predictive guidance and haptic assistance according to the varying state and control ability of human drivers. This helps drivers gradually resume manual control during takeover.