Abstract
In order to develop an advanced haptic take-over system for highly automated vehicles, research into the driver's neuromuscular dynamics is needed. In this paper a dynamic model of drivers' neuromuscular interaction with a steering wheel is firstly established. The transfer function and the natural frequency of the systems are analysed. In order to identify the key parameters of the driver-steering-wheel coupled system and investigate the system properties under different situations, experiments with drive-in-the-loop are carried out. For each test subject, two steering tasks, namely the passive and active steering tasks, are instructed to be completed. Furthermore, during the experiments, subjects manipulated the steering wheel with two distinct postures and three different hand positions. Based on the test results, key parameters of the transfer function and system properties are identified and investigated. The data and characteristics of the driver neuromuscular system are discussed and compared with respect to different steering tasks, hand positions and driver postures. These test results identified system properties that provide a good foundation for the development of a haptic take-over control system for automated vehicles.
Original language | English |
---|---|
Title of host publication | Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 4565-4570 |
Number of pages | 6 |
Volume | 2017-January |
ISBN (Electronic) | 9781538611272 |
DOIs | |
Publication status | Published - 15 Dec 2017 |
Externally published | Yes |
Event | 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China Duration: 29 Oct 2017 → 1 Nov 2017 |
Conference
Conference | 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 |
---|---|
Country/Territory | China |
City | Beijing |
Period | 29/10/17 → 1/11/17 |
Keywords
- automated vehicle
- Driver neuromuscular dynamics
- driver-vehicle interaction
- steering experiments
- take-over control