南京大学学报(自然科学版) ›› 2015, Vol. 51 ›› Issue (2): 243250.
陈湘军1,2* , 施静静1 , 张 鹏1 , 陈启美1
Chen Xiangjun2,1 , Shi Jingjing1, Zhang Peng1, Chen qimei1
摘要: 仅依靠路网固定设施远不足以实现车、路感知,车载终智能终端含GPS、重力传感、图像等实时多元异构数据,便于与网络系统云端交互,是道路感知有力的补充。为此,文中专题研究了上下文感知内涵、移动摄像的标定手段等,继而设计并实现了基于移动上下文传感的终端系统,包括网络分层架构、数据动态采集、上下文处理、信息发布等。基于上下文感知的移动终端系统具有实时性、易便性、普适性、覆盖盲区等优点,为交通监管、应急处理和公众出行服务提供了重要手段,代表了智能交通ITS的发展方向。
[1].Mohan P, Padmanabhan V N, Ramjee R. Nericell.: Rich monitoring of road and traffic conditions using mobile smartphones, Proceedings of the 6th ACM conference on Embedded network sensor systems, Raleigh, NC, USA, 2008, 323-336. [2].朱洪波, 杨龙祥, 于全. 物联网的技术思想与应用策略研究. 通信学报, 2010 (011): 2-9. [3].White Paper. Mobile Cloud Computing Solution Brief. AEPONA, 2010 [4].Chen G, Kotz D. A survey of context-aware mobile computing research. Technical Report TR2000-381, Dept. of Computer Science, Dartmouth College, 2000. [5].Johnson D A, Trivedi M M. Driving style recognition using a smartphone as a sensor platform//Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on. IEEE, 2011: 1609-1615. [6].Noguera J M, Segura R J, Ogáyar C J, et al. Navigating large terrains using commodity mobile devices,?Computers & geosciences, 2011 ,(37)9, 1218-1233. [7].Han M , Lee Y K , Lee S. Comprehensive context recognizer based on multimodal sensors in a smartphone.?Sensors,?12(2012), 9, 12588-12605. [8].Dey A K. Understanding and using context. Personal and ubiquitous computing, 2001, 5(1): 4-7. [9].Chen G, Kotz D. A survey of context-aware mobile computing research. Technical Report TR2000-381, Dept. of Computer Science, Dartmouth College, 2000. [10].Papakonstantinou S, Brujic-Okretic V. Framework for context-aware smartphone applications,?The Visual Computer,?25(2009), 12, 1121-1132. [11].Stockhammer T, Hannuksela M M H. 264/AVC video for wireless transmission. IEEE Wireless Communications, 12(2005), 4,6-13. [12].Wiegand T, Sullivan G J, Bjontegaard G, et al. Overview of the H. 264/AVC video coding standard,?IEEE Transactions on Circuits and Systems for Video Technology,? 2003,,(13)7: 560-576. [13].李勃, 董蓉, 陈启美. 无需人工标记的视频对比度道路能见度检测. 计算机辅助设计与图形学学报, 2009 (11): 1575-1582.. [14].陈钊正, 周庆逵, 陈启美. 基于小波变换的视频能见度检测算法研究与实现. 仪器仪表学报, 2010, 31(1): 92-98. [15].Narasimhan S G. Models and algorithms for vision through the atmosphere. Columbia University, 2003. [16].王植, 贺赛先. 一种基于 Canny 理论的自适应边缘检测方法. 中国图象图形学报: A 辑, 2005, 9(8): 957-962.…[J]. 南京大学学报:2014.。。。 [17].基金项目:国家科技重大专项(2012ZX03005-004-003),国家自然科学基金资助项目(61472166,61105015),江苏省科技厅项目(BE2011747);常州市应用基础研究基金资助项目(CJ20120021) |
No related articles found! |
|