arrow
返回

Ribbon model based path tracking method for autonomous ground vehicles

delete2014-05-15
delete10
PRE
AI
Q
Qingyang Chen
Z
Zhenping Sun *
D
Daxue Liu
X
Xiaohui Li
DOI:10.1007/s11771-014-2127-9delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
To resolve the path tracking problem of autonomous ground vehicles, an analysis of existing path tracking methods was carried out and an important conclusion was got. The vehicle-road model is crucial for path following. Based on the conclusion, a new vehicle-road model named ribbon model was constructed with consideration of road width and vehicle geometry structure. A new vehicle-road evaluation algorithm was proposed based on this model, and a new path tracking controller including a steering controller and a speed controller was designed. The difficulties of preview distance selection and parameters tuning with speed in the pure following controller are avoided in this controller. To verify the performance of the novel method, simulation and real vehicle experiments were carried out. Experimental results show that the path tracking controller can keep the vehicle in the road running as fast as possible, so it can adjust the control strategy, such as safety, amenity, and rapidity criteria autonomously according to the road situation. This is important for the controller to adapt to different kinds of environments, and can improve the performance of autonomous ground vehicles significantly.
Keyword:
autonomous ground vehicle
path tracking
ribbon model

期刊

Journal of Central South University 封面图
Journal of Central South University
IF:
4.4
论文数:
5.2K
被引数:
1.0W

机构

N
national university of defense technology - china
学者数:
1.8W
论文数: 1.4W
被引数: 9
引用论文

引用论文

err分享
err收藏
Nested PID steering control for lane keeping in autonomous vehicles
err2011-12-01
err352
PREAI
errMarino, Riccardo; Scalzi, Stefano; Netto, Mariana
err分享
err收藏
Morphogenesis of the murine node and notochordal plate
err2005-02-03
err0
PREAI
errK. Sulik; D. B. Dehart; T. Inagaki; J. L. Carson; T. Vrablic; K. Gesteland; G. C. Schoenwolf
err分享
err收藏
Prostaglandins, a Link between Renal Hydro‐ and Hemodynamic in Dogs
err2008-12-08
err0
PREAI
errUffe Bang Olsen; Magnus Pauli Magnussen; Eva Eilertsen
err分享
err收藏
Attention and processing speed performance in multiple sclerosis is mostly related to thalamic volume
err2017-01-12
err0
PREAI
errAlvino Bisecco; Svetlana Stamenova; Giuseppina Caiazzo; Alessandro d’Ambrosio; Rosaria Sacco; Renato Docimo; Sabrina Esposito; Mario Cirillo; Fabrizio Esposito; Simona Bonavita; Gioacchino Tedeschi; Antonio Gallo
err分享
err收藏
学者 查看更多内容