Driver-automation cooperative steering control system in avoiding obstacle for road vehicles

Hongzhi Zhang, Ming Yue, Lu Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Due to various defects of driverless technology, driver-automation cooperative steering control system is still an accepted method in transportation system. In this paper, a cooperative control system for obstacle avoidance is proposed to combine the advantages of driver and automatic controller. With the system, a MPC-based automatic controller and an optimal preview acceleration driver model are employed for avoiding obstacles. Besides, an authority allocation mechanism based on level of lane departure and space collision risk is devised to allocate the weights between driver and controller based on the real-time status of vehicle, in which the driver's command and the automatic controller's one will be balanced by weighted summation. Finally, the effectiveness of proposed cooperative control system is verified by CarSim-Simulink cosimulation platform.

Original languageEnglish
Title of host publication2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages930-935
Number of pages6
ISBN (Electronic)9781728100647
DOIs
Publication statusPublished - Jul 2019
Externally publishedYes
Event4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019 - Osaka, Japan
Duration: 3 Jul 20195 Jul 2019

Publication series

Name2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019

Conference

Conference4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
Country/TerritoryJapan
CityOsaka
Period3/07/195/07/19

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