Modern lane detection methods have achieved remarkable performances in complex real-
world scenarios, but many have issues maintaining real-time efficiency, which is important …

We focus on a fundamental task of detecting meaningful line structures, aka, semantic line,
in natural scenes. Many previous methods regard this problem as a special case of object …

Abstract In Advanced Driver Assistance Systems (ADAS) and autonomous vehicles, lane
detection is an important module. Most lane detection methods focused on detecting lanes …

Lane detection on the road is the most essential phase of existing advanced driver
assistance systems (ADAS). In the current road scheme, the lanes are parallel tracks which …

Lane marking detection is a fundamental but crucial step in intelligent driving systems. It can
not only provide relevant road condition information to prevent lane departure but also assist …

Detection of lane region under the road boundary is an imperative module for intelligent
vehicle system. Lane markings provide separate regions on the road for the vehicles to …

The task of lane detection has garnered considerable attention in the field of autonomous
driving due to its complexity. Lanes can present difficulties for detection, as they can be …

Lane detection is essential for many aspects of autonomous driving, such as lane-based
navigation and high-definition (HD) map modeling. Although lane detection is challenging …

Lane detection is a fundamental task in urban traffic management. Like lane detection for
automatic driving, lane detection for traffic management will be faced with common …

Lane detection is one of the core functions in autonomous driving and has aroused
widespread attention recently. The networks to segment lane instances, especially with bad …