Title :
On vision-based lane departure detection approach
Author :
Mo, Wu ; An, Xiangjing ; He, Hangen
Author_Institution :
Inst. of Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
This paper analyzes the process of lane departure detection approach. In our vision-based lane departure detection system, we use a single camera as input. In this paper, we discuss how to detect the lanes marking on the road and get the relationship between vehicle and road. Some measurements are derived to calculate TLC (time to lane crossing), for measuring the position of the vehicle relative to the lanes. Besides, the forward-looking predicting mode is introduced to establish the relationship among driver, vehicle, and road. Further more, the criterion can be got to tell whether there is an unintended lane departure. Simulations show that our vision-based lane departure approach does provide an effective alarm when the state of driver goes wrong.
Keywords :
object detection; road vehicles; safety; forward-looking predicting mode; lanes marking; time to lane crossing; vision-based lane departure detection approach; Air safety; Cameras; Position measurement; Road accidents; Road safety; Road transportation; Road vehicles; Time measurement; Vehicle detection; Vehicle driving;
Conference_Titel :
Vehicular Electronics and Safety, 2005. IEEE International Conference on
Print_ISBN :
0-7803-9435-6
DOI :
10.1109/ICVES.2005.1563672