期刊文献+

无人驾驶汽车环境感知与定位技术 被引量:4

Environment Perception And Location Technology Of Driverless Vehicles
下载PDF
导出
摘要 环境感知与定位技术是无人驾驶汽车技术的关键组成部分。在概括介绍无人驾驶汽车系统总体架构基础上,首先介绍各类环境感知传感器的原理和特点,比较各技术优缺点。然后阐述了传感器的标定方法,并综合论述了车道线检测、障碍物检测、红绿灯检测等环境感知中的关键技术;同时,从高精度地图环境定位、汽车自身定位、多传感器融合定位以及无线通信辅助定位等方面,对汽车定位技术进行了分析。最后,剖析了无人驾驶汽车环境感知与定位技术的难点,并展望了未来研究的发展趋势。 Environment perception and location technology is the key component of driverless vehicles.Based on the overall architecture of the driverless vehicle system,this paper first introduces the principles and characteristics of various environmental sensors,and compares the advantages and disadvantages of each technology.Then,the calibration method of the sensor is described,and the key technologies of environment perception,such as lane detection,obstacle detection,traffic light detection,are comprehensively discussed;Besides,from the high-precision map environment positioning,vehicle positioning,multi-sensor fusion positioning and wireless communication aided positioning,the vehicle positioning technology is analyzed.Finally,this paper analyses the difficulties of environmental perception and location technology for driverless vehicles,and forecasts the development trend of future research.
作者 徐文轩 李伟 XU Wen-xuan;LI Wei(College of Electrical Engineering,Chongqing University,Chongqing 400000,China;College of information science and Engineering Chongqingjiaotong University,Chongqing 400074,China)
出处 《汽车科技》 2021年第6期53-60,52,共9页 Auto Sci-Tech
基金 重庆大学大学生科研训练计划项目(CQU-SRTP-2019318)。
关键词 无人驾驶 环境感知 定位 难点 发展趋势 Driverless Vehicles Environmental Perception Location Difficulties Development Trend
  • 相关文献

参考文献2

二级参考文献13

  • 1J.Ziegler,H.Lategahn,M.Schreiber,C.Keller,C.Knoeppel,H.Jochen,M.Haueis,C.Stiller.'Video based localization for bertha,'. IEEE Intelligent Vehicles Symposium . 2014
  • 2Fountain.’’Yes,Driverless Cars Know the Way to San Jose’’. The New York Times . 2012
  • 3Bernuy,F,del Solar,J.R,Parra,I,Vallejos,P.Adaptive and Real-Time Unpaved Road Segmentation using Color Histograms and RANSAC. 2011 9th IEEE International Conference on Control and Automation .
  • 4Stanford University.Stanley. https://en.wikipedia.org/wiki/Stanley_ (vehicle) . 2005
  • 5Malone.’’Hands off the wheel,Tommy--for you the driving is over’’. Sunday Times . 2013
  • 6R.W.Wolcott,R.M.Eustice.Visual localization within Li DAR maps for automated urban driving. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems .
  • 7Smorawa,Dorota,Mariusz Kubanek.Analysis of advanced techniques of image processing based on automatic detection system and road sings recognition. Journal of Applied Mathematics and Computational Mechanics . 2014
  • 8Kaempchen, N.,Schiele, B.,Dietmayer, K.Situation Assessment of an Autonomous Emergency Brake for Arbitrary Vehicle-to-Vehicle Collision Scenarios. Intelligent Transportation Systems, IEEE Transactions on . 2009
  • 9Lategahn H,Geiger A,Kitt B.Visual SLAM for autonomous ground vehicles. 2011 IEEE International Conference on Robotics and Automation .
  • 10朱志刚,林学訚,石定机,徐光,杨波.基于重投影变换的实时障碍物检测视觉系统[J].计算机研究与发展,1999,36(1):77-84. 被引量:5

共引文献67

同被引文献67

引证文献4

二级引证文献16

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部