This paper proposes a new Driver Assistance System (DAS) which helps the driver in performing lane following control task. The system has the structure of a parallel virtual driver, which is designed to act in the same manner like an ideal driver. The virtual driver is designed based on the Generalized Predicitive Control (GPC) theory. The human driver continuously gets well processed information from the steering wheel as an artificial steering torque. A series of computer simulations and fixed base driving simulator tests were carried out to verify the effectiveness of the DAS. The results show that the task performance was improved by proposed DAS. Moreover, the identification of driver dynamics was carried out to clarify why such improvements could be achieved by the DAS.
Synthesis of driver assistance system for lane-following using generalized predictive control
Synthese eines Fahrerassistenzsystem zur Spurhaltung auf Basis einer verallgemeinerten prädiktiven Regelung
1998
6 Seiten, 12 Bilder, 10 Quellen
Conference paper
English
Synthesis of Driver Assistance System for Lane-following Using Generalized Predictive Control
British Library Conference Proceedings | 1998
|Driver Lane Keeping Characteristic Indices for Personalized Lane Keeping Assistance System
British Library Conference Proceedings | 2017
|Driver Lane Keeping Characteristic Indices for Personalized Lane Keeping Assistance System
SAE Technical Papers | 2017
|LANE FOLLOWING SYSTEM AND METHOD CONSIDERING DRIVING ASSISTANCE LANE
European Patent Office | 2023
|