2009 12th International IEEE Conference on Intelligent Transportation Systems最新文献_第2页

Analysis of congestion points based on probe car data 基于探测车数据的拥堵点分析

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309869

Man Li, Yuhe Zhang, Wenjia Wang

引用次数: 24

Vision system for identifying road signs using triangulation and bundle adjustment 使用三角测量和束调整来识别道路标志的视觉系统

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309571

A. Krishnan, C. Lewis, D. Day

{"title":"Vision system for identifying road signs using triangulation and bundle adjustment","authors":"A. Krishnan, C. Lewis, D. Day","doi":"10.1109/ITSC.2009.5309571","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309571","url":null,"abstract":"This paper presents improvements made to an automated machine vision system that identifies and inventories road signs. The system processes imagery from the Kansas Department of Transportation's road profiler that captures images every 26.4 feet on highways through out the state. The initial system processed images using a computationally efficient K-Means clustering algorithm twice, first on the original image and then again on a difference image to segment the images into objects. Next, object segments were classified based on their size and color. An additional classification step was applied examining the frame to frame trajectory that objects take through the field of view. This technique represented a crude form of triangulation. It was quite effective for signs along straight highways, but often failed along curves when trajectories deviate from the norm. This paper describes how full triangulation was implemented with Bundle adjustment to determine the object's physical location relative to the road profiler. Object locations are then added to the list of criteria determining classification. As with the original size and color classifiers, a representative image set was segmented and manually labeled to determine a joint probabilistic model characterizing the expected location of signs. Receiver Operating Characteristic curves were analyzed to adjust the thresholds for class identification. The improved sign inventory system was tested and its performance characteristics are presented.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132450619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

An evolutionary optimized vehicle tracker in collaboration with a detection system 一种进化优化的车辆跟踪器与检测系统协同工作

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309835

A. Haselhoff, A. Kummert

引用次数: 22

Pedestrian detection by on-board camera using collaboration of inter-layer algorithm 基于层间协同算法的车载摄像头行人检测

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309839

Bipul Kumar Sen, K. Fujimura, S. Kamijo

引用次数: 5

A data fusion based approach for evaluation of material loss in corroded aluminum panels 基于数据融合的腐蚀铝板材料损耗评估方法

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309830

Soumya De, K. Gupta, R. Stanley, G. Steffes, D. Palmer, R. Zoughi

引用次数: 5

Dynamic fastest paths with multiple unique destinations (DynFast-MUD) — A specialized traveling salesman problem with intermediate cities 具有多个独特目的地的动态最快路径(DynFast-MUD)——一个针对中间城市的专门旅行推销员问题

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309548

Jeffrey Miller, Muhammad Ali

引用次数: 6

Lane level positioning using particle filtering 使用粒子滤波的车道水平定位

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309850

Ahmed Selloum, D. Bétaille, E. Carpentier, F. Peyret

引用次数: 16

Wireless communication-based measurement of vehicle speed and traffic volume 基于无线通信的车辆速度和交通量测量

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309867

Q. Doan, Tahar Berradia, J. Mouzna

引用次数: 2

An experiment of a 3D real-time robust visual odometry for intelligent vehicles 智能汽车三维实时鲁棒视觉里程计实验

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309615

F. SergioAlbertoRodriguez, S. R. Florez, V. Fremont, P. Bonnifait

引用次数: 33

Vehicle risks assessment using a nokia N95 使用诺基亚N95进行车辆风险评估

2009 12th International IEEE Conference on Intelligent Transportation Systems Pub Date : 2009-11-06 DOI: 10.1109/ITSC.2009.5309703

Gerardo Reveriego, C. Urdiales, F. Sandoval

{"title":"Vehicle risks assessment using a nokia N95","authors":"Gerardo Reveriego, C. Urdiales, F. Sandoval","doi":"10.1109/ITSC.2009.5309703","DOIUrl":"https://doi.org/10.1109/ITSC.2009.5309703","url":null,"abstract":"This paper presents an application capable of identifying hazardous spots in roads and dangerous situations caused by human mistakes or reckless driving. Our work relies on a mobile phone since most users already have one and usually take it with them everywhere they go, even when they travel by car. Specifically, we use a Nokia N95 because is provided with GPS (Global Positioning System) and an accelerometer which make it possible to perform an economic, preventive, non invasive and efficient monitoring. Our application analyzes the data coming from these two independent and correlated sources of information during a car journey. The development of an application specifically designed for Nokia N95 was required. This application was to capture all the necessary data that would, afterwards, be analyzed off-line in a computer. The result is a report on the route and any potential problems that may have arisen along the journey using a Geographic Information System (GIS) as support. This standard-based report can be visualized with various compatible GIS. We have used Google Earth due to its public and free accessibility. Results in different road trips by different drivers have proven the validity of the approach.","PeriodicalId":268587,"journal":{"name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121835626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6