典型文献
Deep learning based curb detection with Lidar
文献摘要:
Curb detection provides road boundary information and is important to road detection. Howev-er, curb detection is challenging due to the problems such as various curb shapes, colour, disconti-nuity. In this work, a novel learning-based method for curb detection is proposed using Lidar point clouds, considering that Lidars are not sensitive to illumination and are relatively stable to weather conditions. A deep neural network, named EdgeNet, is constructed and trained, which handles point clouds in an end-to-end way. After EdgeNet is properly trained, curb points are then segmen-ted in the neural network output. In order to train, a curb point annotation algorithm is also designed to generate training dataset. The curb detection method works well with different road scenarios in-cluding intersections. The experimental results validate the effectiveness and robustness of this curb detection method.
文献关键词:
中图分类号:
作者姓名:
WANG Xiaohua;LIAO Zhonghe;MA Pin;MIAO Zhonghua
作者机构:
School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200444,P.R.China
文献出处:
引用格式:
[1]WANG Xiaohua;LIAO Zhonghe;MA Pin;MIAO Zhonghua-.Deep learning based curb detection with Lidar)[J].高技术通讯(英文版),2022(03):272-279
A类:
Curb,disconti,nuity,Lidars,EdgeNet
B类:
Deep,learning,curb,detection,provides,road,boundary,information,important,Howev,challenging,due,problems,such,various,shapes,colour,In,this,novel,method,proposed,using,clouds,considering,that,are,sensitive,illumination,relatively,stable,weather,conditions,deep,neural,network,named,constructed,trained,which,handles,end,way,After,properly,points,then,segmen,output,order,annotation,algorithm,also,designed,generate,training,dataset,works,well,different,scenarios,cluding,intersections,experimental,results,validate,effectiveness,robustness
AB值:
0.492071
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