The rapid development of artificial intelligence leads to many studies on autonomous robot
and self-driving vehicles, in which, autonomous driving plays one of the most important roles …

The accurate detection and classification of road markings is required for autonomous
vehicles. There have been several previous studies on the detection of road lane markings …

Detection and classification of road markings are a prerequisite for operating autonomous
vehicles. Although most studies have focused on the detection of road lane markings, the …

This paper presents a method for detection and recognition of road lane markings using an
uncalibrated onboard camera. Initially, lane boundaries are detected based on a linear …

Robust understanding of the lane position and type is essential for changing lanes in
autonomous vehicles. However, accomplishing this task in real time with high level of …

Road marking detection and recognition play an important role in driving assistance system
and intelligent transportation system. We proposed a method for road marking recognition …

A method for road markings extraction on urban streets acquired by a camera mounted on a
moving vehicle is described. This method works in three stages. First, the search for the road …

Driver assistance systems using situation analysis require a reliable environment perception
in order to improve the traffic safety. Many previous works dealt with lane recognition …

交通标志的检测与识别是智能驾驶导航系统的重要组成部分, 但传统方法的处理过程由于精度低
, 时间复杂度高以及鲁棒性差等缺点, 不能满足当前智能驾驶的需求. 为此, 提出了一种基于Mask …

In this paper, we propose a method for online extrinsic camera calibration, ie, estimating
pitch, yaw, roll angles and camera height from road surface in sequential driving scene …