参考文献
[1]Blake,Tanya.Autonomous Vehicles[EB/OL].(2015-08-01).http://trove.nla.gov.au/version/215910337.
[2]IVANCSITS C,LEE M R.Visual Navigation System for Small Unmanned Aerial Vehicles[J].Sensor Review,2013,33(3):267-291.
[3]杨帆.无人驾驶汽车的发展现状和展望[J].上海汽车,2014(3):35-40.
[4]潘建亮.无人驾驶汽车社会效益与影响分析[J].汽车工业研究,2014(5):22-24.
[5]郭俊杰.无人驾驶车GPS自主导航系统设计与实现[D].长安:长安大学,2014.
[6]DI Kaichang,WAN Wenhui,LIU Zhaoqin.New Visual Odometry Method for Planetary Rover Localization[J].Journal of Remote Sensing,2013,17(1):46-61.
[7]卢维.高精度实时视觉定位的关键技术研究[D].杭州:浙江大学,2015.
[8]祝天健.基于图的无人驾驶车即时定位与地图构建[D].大连:大连理工大学,2013.
[9]唐恒博,陈卫东,王景川,等.高精度高鲁棒性的轨道机器人全局定位方法[J].机器人,2013,35(5):623-629.
[10]BRUBAKER M A,GEIGER A,URTASUN R.Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Washington D.C.,USA:IEEE Press,2013:3057-3064.
[11]GODOY J,RASTELLI J P,ONIEVA E,et al.A
Driverless Vehicle Demonstration on Motorways and in Urban Environments[J].Transport,2015,30(3):253-263.
[12]江燕华,熊光明,姜岩,等.智能车辆视觉里程计算法研究进展[J].兵工学报,2012,33(2):214-220.
[13]梁昆,杨明,王春香,等.基于低精度GPS的智能车视觉导航方法[J].上海交通大学学报,2011,45(2):168-172.
[14]高庆吉,李娟,马乐,等.机器人视觉定位中的路口场景识别方法研究[J].中国图象图形学报,2009,14(12):2610-2616.
[15]GEIGER A,LAUER M,WOJEK C,et al.3D Traffic Scene Understanding from Movable Platforms[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2014,36(5):1012-1025.
[16]申龙斌,李臻,魏志强,等.一种改进的图像场景识别算法[J].中国海洋大学学报(自然科学版),2015,45(4):116-121.
[17]周莉,胡德文,周宗潭.综合结构和纹理特征的场景识别[J].中国科学:信息科学,2012,42(6):687-702.
[18]谢锦,蔡自兴,李昭,等.基于方向边缘匹配的人行横道与停止线检测[J].计算机工程,2013,39(6):261-265.
[19]郑永荣,袁家政,刘宏哲.一种基于IPM-DVS的车道线检测算法[J].北京联合大学学报(自然科学版),2015,29(2):41-46.
[20]彭红,肖进胜,程显,等.基于扩展卡尔曼滤波器的车道线检测算法[J].光电子·激光,2015,26(3):566-574.
[21]YENIKAYA S.Keeping the Vehicle on the Road:A Survey on On-road Lane Detection Systems[J].ACM Computing Surveys,2013,46(1):1-43.
[22]SHIN B S,TAO J,KLETTE R.A Superparticle Filter for Lane Detection[J].Pattern Recognition,2015,48(11):3333-3345.
[23]MAMMERI A,BOUKERCHE A,LU Guangqian.Lane Detection And Tracking System Based on the MSER Algorithm,Hough Transform and Kalman Filter[C]//Proceedings of the 17th ACM International Conference on Modeling,Analysis and Simulation of Wireless and Mobile Systems.New York,USA:ACM Press,2014:259-266.
[24]WU Pei-chen,CHANG Chin-yu, LIN Chang-hong.Lane-mark Extraction for Automobiles Under Complex Conditions[J].Pattern Recognition,2014,47(8):2756-2767.
[25]BAY H,TUYTELAARS T,GOOL L V.SURF:Speeded Up Robust Features[C]//Proceedings of the 9th European Conference on Computer Vision.Berlin,Germany:Springer,2006:404-417.
[26]李东海.影响无源定位精度的多种误差原因分析[J].现代雷达,2016(5):4-8.
编辑顾逸斐 |