Road region extraction is a crucial part of the vision-based driver assistance system of
intelligent vehicles. This driver assistance system reduces road accidents, enhances safety …

Lane detection is crucial for vehicle localization which makes it the foundation for automated
driving and many intelligent and advanced driving assistant systems. Available vision-based …

Lane detection is a challenging task in Advanced Driving Assistance System/Autonomous
Driving (ADAS/AD) with strict requirements on real-time and accuracy. Inspired by the …

Accurately detecting the lanes plays a significant role in various autonomous and assistant
driving scenarios. It is a highly structured task as lanes in the 3D world are continuous and …

Lane detection presents a formidable challenge in the realm of autonomous driving, given
the real-time processing demands, diverse acquisition conditions, and the unique elongated …

Lane mark detection plays an important role in autonomous driving under structural
environments. Many deep learning-based lane mark detection methods have been put …

车道线识别是自动驾驶环境感知的一项重要任务. 近年来, 基于卷积神经网络的深度学习方法在
目标检测和场景分割中取得了很好的效果. 本文借鉴语义分割的思想, 设计了一个基于编码解码 …

Lane detection is one of the most fundamental tasks in autonomous driving perception, but it
still faces many challenges in some special driving scenarios. For example, in dazzling light …

Lane detection is an important and challenging part of autonomous driver assistance
systems and other advanced assistance systems. The presence of road potholes and …

Lane detection is an important component of advanced driving aided system (ADAS). It is a
combined component of the planning and control algorithms. Therefore, it has high …