TY - GEN
T1 - Lane Detection Using Edge Detection and Spatio-Temporal Incremental Clustering
AU - Alamsyah, Sayyidul Aulia
AU - Purwanto, Djoko
AU - Attamimi, Muhammad
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/21
Y1 - 2021/7/21
N2 - Nowadays, research on intelligent vehicle technology is widely brought out. One of the most important functions that must exist on the intelligent vehicle is lane detection. The purpose of the lane detection system is to alert the driver if the vehicle is moving too close to lane boundaries, such as a white line. However, not all roads have been equipped with white lines as the lane boundaries. In this study, a method to detect lane boundaries on roads that do not have white lines as the road boundaries are proposed. Canny edge detection and Hough transforms are used to extract the lane boundaries, then cluster the result using spatio-temporal incremental clustering. The output of this method is an image with lines that represent the lane boundaries. This method can detect 90% road boundary of 1193 straight road images correctly.
AB - Nowadays, research on intelligent vehicle technology is widely brought out. One of the most important functions that must exist on the intelligent vehicle is lane detection. The purpose of the lane detection system is to alert the driver if the vehicle is moving too close to lane boundaries, such as a white line. However, not all roads have been equipped with white lines as the lane boundaries. In this study, a method to detect lane boundaries on roads that do not have white lines as the road boundaries are proposed. Canny edge detection and Hough transforms are used to extract the lane boundaries, then cluster the result using spatio-temporal incremental clustering. The output of this method is an image with lines that represent the lane boundaries. This method can detect 90% road boundary of 1193 straight road images correctly.
KW - Intelligent Vehicle
KW - Lane Detection
KW - Spatio-Temporal Incremental Clustering
UR - http://www.scopus.com/inward/record.url?scp=85114649579&partnerID=8YFLogxK
U2 - 10.1109/ISITIA52817.2021.9502232
DO - 10.1109/ISITIA52817.2021.9502232
M3 - Conference contribution
AN - SCOPUS:85114649579
T3 - Proceedings - 2021 International Seminar on Intelligent Technology and Its Application: Intelligent Systems for the New Normal Era, ISITIA 2021
SP - 364
EP - 369
BT - Proceedings - 2021 International Seminar on Intelligent Technology and Its Application
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Seminar on Intelligent Technology and Its Application, ISITIA 2021
Y2 - 21 July 2021 through 22 July 2021
ER -