检索结果-南通市图书馆

Deep learning based curb detection with Lidar

High Technology Letters 2022年第3期28卷 272-279页

作者： WANG Xiaohua LIAO Zhonghe MA Pin MIAO Zhonghua School of Mechatronic Engineering and Automation Shanghai UniversityShanghai 200444P.R.China

curb detection provides road boundary information and is important to road ***,curb detection is challenging due to the problems such as various curb shapes,colour,*** 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 *** EdgeNet is properly trained,curb points are then segmented in the neural network *** order to train,a curb point annotation algorithm is also designed to generate training *** curb detection method works well with different road scenarios including *** experimental results validate the effectiveness and robustness of this curb detection method.

关键词： curb detection EdgeNet curb annotation algorithm

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

detection of Road Obstacles Using 3D Lidar Data via Road Plane Fitting

Detection of Road Obstacles Using 3D Lidar Data via Road Pla...

引用

2015年中国智能自动化学术会议

作者： Xiong Chen Zhidong Deng State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Department of Computer ScienceTsinghua University

detection of road obstacles is essential for autonomous driving of intelligent vehicles on highways and urban roads. In this paper, we present a robust and accurate road obstacle detection method using 3D lidar data. First, we acquire a stable and accurate description of road curbs through double validations. Then, a RANSAC and least squares road plane fitting procedure is performed. Finally,obstacles including cars, trucks, pedestrians, and bikes are detected based on the road plane. Experimental results show good performances of the proposed method on various road situations.

关键词： Obstacle detection curb detection Road fitting Autonomous driving

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：