Research on Security of Key Algorithms in Intelligent Driving System

论文摘要

With the rapid development of the smart driving technology, the security of smart driving algorithms is becoming more and more important. Four core smart driving algorithms are determined by studying the architecture of smart driving algorithm. These algorithms comprise local path planning, pedestrian detection, lane detection and obstacle detection. The security issues of these algorithms are investigated by closely examining the work carried out by the algorithms. We found that there are vulnerabilities in all four algorithms. These vulnerabilities can cause abnormality and even road accidents for the smart cars. The final experiment shows that the vulnerabilities of these algorithms do exist under certain circumstances and therefore have high security risks. This study will lay a foundation to improve the security of the smart driving system.

论文目录

• I.Introduction
• II.Smart Driving Architecture
• III.Core Smart Driving Algorithms
•   1.Local path planning algorithm
•   2.Pedestrian detection algorithm
•   3.Lane detection algorithm
•   4.Obstacle detection algorithm
• IV.Security Analysis of the Core SmartDriving Algorithms
•   1.Local path planning algorithm
•   2.Pedestrian detection algorithm
•   3.Lane line detection algorithm
•   4.Obstacle detection algorithm
• V.Experiment
•   1.Local path planning algorithm
•   2.Pedestrian detection algorithm
•   3.Lane line detection algorithm
•   4.Obstacle detection algorithm
• VI.Conclusions

文章来源

类型: 期刊论文

作者: LIU Shangdong,WU Ye,JI Yimu,CHEN Chen,BI Qiang,JIAO Zhipeng,GONG Jian,WANG Ruchuan

来源: Chinese Journal of Electronics 2019年01期

年度: 2019

分类: 信息科技,工程科技Ⅱ辑

专业: 汽车工业

单位: School of Computer Science and Engineering,Southeast University,School of Computer Science,Nanjing University of Posts and Telecommunications,Jiangsu Provincial Key Laboratory of Computer Network Technology,Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks

基金: financially supported by the National Key R&D Program of China(No.2017YFB1401300,No.2017YFB1401302),the National Natural Science Foundation of China(No.61572260,No.61872196,No.61871412),the Key Research and Development Program of Jiangsu Province(No.BE2017166,No.BE20161),the Natural Science Foundation Outstanding Youth Fund of Jiangsu Province(No.BK20170100),the 1311 Project of Nanjing University of Posts and Telecommunications,the Science and Technology Innovation Training Program(STITP)in Jiangsu Province(No.SZDG2018001),the Natural Science Foundation of Anhui Province of China(No.1708085MF156)

分类号: U463.6

页码: 29-38

总页数: 10

文件大小: 9755K

下载量: 87