期刊
JOURNAL OF SUPERCOMPUTING
卷 78, 期 8, 页码 10385-10404出版社
SPRINGER
DOI: 10.1007/s11227-021-04302-5
关键词
Contour image; Vanishing point; Deep learning network; Image recognition; Redundancy removal
类别
资金
- GDAS' Project of Building a World-class Research Institution in China [2020GDASYL-20200402007]
Road detection is crucial for ADAS, and our proposed improved algorithm utilizing deep learning network effectively improves the speed and accuracy of road recognition.
Road detection is defined as one of the core technology of Advanced Driving Assistance System (ADAS), and this problem is important for improving the recognition accuracy and speed. Though much work has been done concerning road detection, the related questions about non-road areas are not thoroughly considered. Understanding the question is of primary importance in ADAS, we proposed an improved algorithm based on deep learning network for road image redundancy removal. Compared with the most typical road recognition methods, the experimental results show that the proposed method improves the speed of road recognition greatly, while ensuring the accuracy of road recognition to high level.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据