Predictive Virtual Lane Method using Relative Motions between a Vehicle and Lanes

Title
Predictive Virtual Lane Method using Relative Motions between a Vehicle and Lanes
Authors
정정주
Keywords
Driver assistance system; kinematics; lane detection; virtual lane
Issue Date
2015-02
Publisher
INST CONTROL ROBOTICS & SYSTEMS
Citation
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v. 13, Page. 146-155
Abstract
We propose a new approach for virtual lane prediction. The main contribution of the proposed method is that the predicted virtual lane can be substituted for lane detection using a camera sensor when the camera image processing fails to detect the lane. The proposed method generates the predicted virtual lane using the relative movement between a vehicle and a lane. To predict the lane, a third-order polynomial function of the longitudinal distance is used as a lane model. Each coefficient of the lane polynomial function at the next sampling time is geometrically calculated using the relative movement of a vehicle, the lanes, the longitudinal velocity and the yaw of the vehicle at the present time. Then, the predictive virtual lane at the next sampling time is obtained without the lane information from the camera sensor at the next sampling time. The proposed method is simple enough that it is suitable for real implementation. The performance of the proposed method was evaluated via experiments with a test vehicle.
URI
http://link.springer.com/article/10.1007/s12555-013-0276-5http://hdl.handle.net/20.500.11754/22379
ISSN
1598-6446; 2005-4092
DOI
http://dx.doi.org/10.1007/s12555-013-0276-5
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ETC
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE