Keywords: lane departure warning system (LDWS), virtual lane boundary, fuzzy-logic inference, computer vision
Received November 30, 2005; revised June 5 & August 30, 2006; accepted October 4, 2006.
Communicated by Pau-Choo Chung.
| [ Previous | [ 1] | [ 2] | [ 3] | [ 4] | [ 5] | [ 6] | [ 7] | [ 8] | [ 9] | [ 10] | [ 11] | [ 12] | [ 13] | [ 14] | [ 15] | [ 16] | [ 17] | [ 18] | [ 19] | [ 20] |
¡@
Yong Zhou, Rong Xu, Xiao-Feng Hu and Qing-Tai Ye
School of Mechanical Engineering
Shanghai Jiao Tong University
Shanghai 200030, P.R.C.
A lane departure warning system (LDWS) should give as much warning time as
possible, while triggering few, if any, false alarms. In this paper, a virtual lane boundary
based LDWS (VLWM) is proposed to approach this goal. VLWM allows the driver to
drift beyond the physical lane boundary by adding a virtual lane boundary. Accounting
for the driving habit of the driver, lane geometry, and the local driver behavior changes,
the virtual lane width is determined using a fuzzy-logic inference method. When the vehicle
is predicted to exceed the virtual lane boundary, an alarm is triggered. Real world
driving data are used to test the LDWSs. Compared with time-to-lane-crossing (TLC)
based method, the VLWM has a much lower false alarm rate, while their warning time is
almost similar. Meanwhile, VLWM has a much longer warning time than the roadside
rumble strip (RRS), while the false alarm rate is almost as low as that of the RRS.
Received November 30, 2005; revised June 5 & August 30, 2006; accepted October 4, 2006.
Communicated by Pau-Choo Chung.