TY - GEN
T1 - Detection of lane lines on both sides of road based on monocular camera
AU - Wang, Jiannan
AU - Ma, Hongbin
AU - Zhang, Xinghong
AU - Liu, Xiaomeng
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/5
Y1 - 2018/10/5
N2 - In this paper, an unstructured road in the campus is investigated and the images of both sides of the road are collected by a monocular camera. First of all, by analyzing and comparing some commonly used image processing methods, an optimal method to preprocess the original image is selected, such as using the cutting means to exclude the image of independent elements and choosing Canny operator to detect the image. Then, on the basis of using Hough transform to detect the information of lines, the lane lines are identified and marked. After that, by observing the statistics of the left and the right angles between two sides of the lane lines and the axis of the vehicle in different position of the road, a lane departure warning model is established. In the end, the simulation results show the validity of the proposed scheme of the detection algorithm of lane lines and the lane departure warning model.
AB - In this paper, an unstructured road in the campus is investigated and the images of both sides of the road are collected by a monocular camera. First of all, by analyzing and comparing some commonly used image processing methods, an optimal method to preprocess the original image is selected, such as using the cutting means to exclude the image of independent elements and choosing Canny operator to detect the image. Then, on the basis of using Hough transform to detect the information of lines, the lane lines are identified and marked. After that, by observing the statistics of the left and the right angles between two sides of the lane lines and the axis of the vehicle in different position of the road, a lane departure warning model is established. In the end, the simulation results show the validity of the proposed scheme of the detection algorithm of lane lines and the lane departure warning model.
KW - Hough Transform
KW - Lane Departure Warning
KW - Safety Auxiliary Driving System
UR - http://www.scopus.com/inward/record.url?scp=85056301824&partnerID=8YFLogxK
U2 - 10.1109/ICMA.2018.8484630
DO - 10.1109/ICMA.2018.8484630
M3 - Conference contribution
AN - SCOPUS:85056301824
T3 - Proceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018
SP - 1134
EP - 1139
BT - Proceedings of 2018 IEEE International Conference on Mechatronics and Automation, ICMA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Mechatronics and Automation, ICMA 2018
Y2 - 5 August 2018 through 8 August 2018
ER -