Road and Lane Detection Using Stereo Camera

Road and Lane Detection Using Stereo Camera
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使用立体摄像头进行道路和车道检测

DOI:
10.1109/bigcomp.2018.00117
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发表时间:
2018
期刊:
2018 IEEE International Conference on Big Data and Smart Computing (BigComp)
影响因子:
--
通讯作者:
J. Koo
J. Koo
中科院分区:
--
文献类型:
--
作者:
Jung;Jae;J. Koo

文献摘要

被引文献

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介绍了一种利用立体摄像机对自动驾驶汽车进行道路和车道线检测的方法。当道路上有车辆存在时,很难发现诸如车道、人行横道、停车线等负荷标志,只用一个摄像头作为立体相机的结果,视差图可以被用来容易地分离道路和车辆,并且在分离的道路区域中的路标检测是可能的。在本文中,我们展示了道路提取的输入图像,其中包括多个车辆和车道检测使用动态规划和卡尔曼滤波器稳定。
This paper introduces a method of road and lane detection using stereo camera for self driving car. When vehicles are exist on the road, it is difficult to find load sign such as lane, crosswalk, stop line, etc., only using a single camera. As a result of the stereo camera, the disparity map can be used to separate the road and the vehicle easily, and road sign detection is possible in the separated road area. In this paper, we show the road extraction from the input image which includes several vehicles and lane detection using Dynamic programming and Kalman filter steadily.