TY - GEN
T1 - Real-time Steering Control algorithm based on Lane Segmentation image using Monocular view for Map-less Driving
AU - Lee, Si Woo
AU - Lee, Jinsun
AU - Hong, Hyeong Keun
AU - Jeon, Jae Wook
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Growing interest in integrating in-vehicle data processing and artificial intelligence (AI) has significantly improved performance. This improvement extends to technologies like object detection, with rapid progress, and pixel-based segmentation research in various directions. While research on steering value processing using AI models is ongoing, model-centric studies continue to garner attention. This paper discusses a framework for obtaining lane gradients using instance segmentation techniques among segmentation methods. It emphasizes the development of image processing independent of control systems or single-model limitations, proposes a service-oriented methodology for better management and development, and outlines the utilization of pre-trained instance segmentation models.
AB - Growing interest in integrating in-vehicle data processing and artificial intelligence (AI) has significantly improved performance. This improvement extends to technologies like object detection, with rapid progress, and pixel-based segmentation research in various directions. While research on steering value processing using AI models is ongoing, model-centric studies continue to garner attention. This paper discusses a framework for obtaining lane gradients using instance segmentation techniques among segmentation methods. It emphasizes the development of image processing independent of control systems or single-model limitations, proposes a service-oriented methodology for better management and development, and outlines the utilization of pre-trained instance segmentation models.
KW - Instance Segmentation
KW - Real-time Instance Segmentation
KW - Self-Driving Cars
KW - Steering Control
UR - https://www.scopus.com/pages/publications/85179889689
U2 - 10.1109/ICCE-Asia59966.2023.10326378
DO - 10.1109/ICCE-Asia59966.2023.10326378
M3 - Conference contribution
AN - SCOPUS:85179889689
T3 - 2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023
BT - 2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023
Y2 - 23 October 2023 through 25 October 2023
ER -