TY - GEN
T1 - Feature-Based Lane Detection Algorithms for Track Following
T2 - 8th International Conference on Mechatronics and Robotics Engineering, ICMRE 2022
AU - Hashem, Ahmed
AU - Schlechter, Thomas
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Autonomous driving has been gaining momentum in recent years and is today one of the hottest areas of research and development in the mobility sector. One of the basic tasks to cover in the field of autonomous driving is lane detection. Considering that lane keeping and controlled lane change are low level autonomy tasks, those tasks are essential to any project aiming to achieve a reasonable level of autonomous driving. As a students' playground, the University of Applied Sciences Upper Austria - along with its partners - is currently establishing a model car based future mobility race event. To make this happen, a ROS based model car is equipped with various known and newly to be developed algorithms enabling certain capabilities. Given the described topical context, in this paper two feature-based lane detection algorithms, namely Hough Line Transform algorithm and Sliding Window algorithm, are developed, tested and compared.
AB - Autonomous driving has been gaining momentum in recent years and is today one of the hottest areas of research and development in the mobility sector. One of the basic tasks to cover in the field of autonomous driving is lane detection. Considering that lane keeping and controlled lane change are low level autonomy tasks, those tasks are essential to any project aiming to achieve a reasonable level of autonomous driving. As a students' playground, the University of Applied Sciences Upper Austria - along with its partners - is currently establishing a model car based future mobility race event. To make this happen, a ROS based model car is equipped with various known and newly to be developed algorithms enabling certain capabilities. Given the described topical context, in this paper two feature-based lane detection algorithms, namely Hough Line Transform algorithm and Sliding Window algorithm, are developed, tested and compared.
KW - Future Mobility Cup
KW - Hough Line Transform
KW - Lane Detection
KW - Sliding Window Algorithm
UR - http://www.scopus.com/inward/record.url?scp=85128408966&partnerID=8YFLogxK
U2 - 10.1109/ICMRE54455.2022.9734077
DO - 10.1109/ICMRE54455.2022.9734077
M3 - Conference contribution
AN - SCOPUS:85128408966
T3 - 2022 8th International Conference on Mechatronics and Robotics Engineering, ICMRE 2022
SP - 169
EP - 173
BT - 2022 8th International Conference on Mechatronics and Robotics Engineering, ICMRE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 February 2022 through 12 February 2022
ER -