| dc.contributor.author | Ci, Yusheng | |
| dc.contributor.author | Ma, Zhiyuan | |
| dc.contributor.author | Chen, Dandan | |
| dc.contributor.author | Luo, Yuechen | |
| dc.contributor.author | Zhang, Hengyi | |
| dc.contributor.author | Gao, Xueyi | |
| dc.date.accessioned | 2026-08-20T20:57:09Z | |
| dc.date.available | 2026-08-20T20:57:09Z | |
| dc.date.copyright | 2026/02/26 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JTEPBS.TEENG-9396.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313722 | |
| dc.description.abstract | AbstractAs a fundamental technology in the field of autonomous driving, lane detection plays
a critical role in various advanced driver-assistance systems, including lane keeping,
lane departure warning, lane change assistance, and forward collision ...Practical ApplicationsIn autonomous vehicles and advanced driver-assistance systems, clear lane markings
are critical for safe navigation. However, lane markings can become blurred due to
vehicle loads or wear, posing risks to autonomous driving systems. ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | SALane: Speed and Accuracy Balanced Detection of Degraded Lane Markings Based on Visual Images | |
| dc.type | Journal Article | |
| dc.journal.volume | 152 | |
| dc.journal.issue | 5 | |
| dc.journal.title | Journal of Transportation Engineering, Part A: Systems | |
| dc.identifier.doi | 10.1061/JTEPBS.TEENG-9396 | |
| dc.journal.fristpage | 04026024-1 | |
| dc.journal.lastpage | 04026024-11 | |
| dc.page | 11 | |
| dc.tree | Journal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 005 | |
| dc.contenttype | Fulltext | |
