International Conference on Vehicle Technology and Intelligent Transport Systems最新文献_第10页

Scenario Interpretation based on Primary Situations for Automatic Turning at Urban Intersections 基于主要情景的城市交叉口自动转向场景解读

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2017-04-22 DOI: 10.5220/0006150300150023

D. P. Lopez, Rene Waldmann, Christian Joerdens, R. Rojas

引用次数: 3

Dynamic Map Update Protocol for Highly Automated Driving Vehicles 高度自动驾驶车辆动态地图更新协议

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2017-04-01 DOI: 10.5220/0006279800680078

Florian Jomrich, Aakash Sharma, Tobias Rückelt, Daniel Burgstahler, Doreen Böhnstedt

{"title":"Dynamic Map Update Protocol for Highly Automated Driving Vehicles","authors":"Florian Jomrich, Aakash Sharma, Tobias Rückelt, Daniel Burgstahler, Doreen Böhnstedt","doi":"10.5220/0006279800680078","DOIUrl":"https://doi.org/10.5220/0006279800680078","url":null,"abstract":"Highly automated driving vehicles are currently subject of strong research efforts to enable novel mobility experiences. To achieve this goal a high definition street map is required. It provides the vehicles with centimetre accurate references to all geographic objects in its surrounding. So this street map enables driving capabilities of the automated vehicle in terms of safety and comfort for the passengers that could not be obtained while only relying on the cars own inbuilt sensor equipment. This high definition street map has to ensure the accuracy and timeliness of its data, necessary for the task of highly automated driving, at any time. Therefore those maps have to be constantly provided with updates from a remote server. This paper describes a protocol based mainly on preselection of contextual relevant map data to provide a car in an efficient way with such a continuous stream of updates. The capabilities of the protocol have been evaluated on a map database of Berlin. The obtained results verify that it achieves a significant decrease in transmission data and processing time, compared to existing map update approaches.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123796613","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: 13

An Agent Trading on Behalf of V2G Drivers in a Day-ahead Price Market 日前价格市场中代表V2G司机进行交易的代理人

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2017-02-23 DOI: 10.5220/0006156201350141

I. A. Almansour, E. Gerding, G. Wills

引用次数: 1

A Unified Real-time Automatic Congestion Identification Model Considering Weather and Roadway Visibility Conditions 考虑天气和道路能见度条件的统一实时拥堵自动识别模型

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2016-12-06 DOI: 10.5220/0005791400390048

Mohammed Elhenawy, H. Rakha, Hao Chen

{"title":"A Unified Real-time Automatic Congestion Identification Model Considering Weather and Roadway Visibility Conditions","authors":"Mohammed Elhenawy, H. Rakha, Hao Chen","doi":"10.5220/0005791400390048","DOIUrl":"https://doi.org/10.5220/0005791400390048","url":null,"abstract":"Real-time automatic congestion identification is one of the important routines of intelligent transportation systems (ITS). Previous efforts usually use traffic state measurements (speed, flow, occupancy) to develop congestion identification algorithms. However, the impacts of weather conditions to identify congestion have not been investigated in the existing studies. In this paper, we proposed an algorithm that uses the speed probe data and the corresponding weather and visibility to build a transferable model. This model can be used on any road stretch. Our algorithm assumes traffic states can be classified into three regimes: congestion, speed at capacity and free-flow. Moreover, the speed distribution follows a mixture of three components whose means are functions in weather and visibility. The mean of each component is defined using a linear regression using different weather conditions and visibility levels as predictors. We used three data sets from VA, CA and TX to estimate the model parameters. The fitted model is used to calculate the speed cut-off between congestion and speed at capacity which minimize either the Bayesian classification error or the false positive (congestion) rate. The test results demonstrate the proposed method produces promising congestion identification output by considering weather condition and visibility.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126055159","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: 5

Estimation of Influence of ESP on LCV Active Safety in Condition of Curvilinear Movement 曲线运动条件下ESP对LCV主动安全影响的估计

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2016-12-06 DOI: 10.5220/0005894401180123

A. Tumasov, A. Vashurin, E. Toropov, P. Moshkov, Y. Trusov

引用次数: 2

Horizon.KOM: A First Step Towards an Open Vehicular Horizon Provider 地平线。KOM:迈向开放汽车地平线供应商的第一步

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2016-12-03 DOI: 10.5220/0005799700790084

Daniel Burgstahler, C. Peusens, Doreen Böhnstedt, R. Steinmetz

引用次数: 1

Design, Implementation and Testing of a Real Time System to Unambiguously Assign Detected Vehicles from Car-to-Car Communication and on-Board Camera 从车对车通信和车载摄像头中明确分配被检测车辆的实时系统的设计、实现和测试

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2016-12-03 DOI: 10.5220/0005761200200030

S. Fontanesi, L. Fanucci, F. Hofmann

{"title":"Design, Implementation and Testing of a Real Time System to Unambiguously Assign Detected Vehicles from Car-to-Car Communication and on-Board Camera","authors":"S. Fontanesi, L. Fanucci, F. Hofmann","doi":"10.5220/0005761200200030","DOIUrl":"https://doi.org/10.5220/0005761200200030","url":null,"abstract":"on-Board surround sensors, such as cameras and radars, are used in Advanced Driving Assistance Systems applications to improve the driver safety and comfort. In the meantime, Car-to-Car Communication systems are in the deployment phase and have been tested in huge test fields. In order to compensate the weaknesses and benefit from the strengths of both systems, their information can be fused. In this context, one major challenge is the unambiguous assignment of detected vehicles from different sensors, which is still an open research topic and the major target of this work. An innovative algorithm was first tested in Matlab using recorded data and then implemented on real hardware. The results obtained are promising and, from a spatial point of view, they show already a successful matching of vehicles. Compared with the solutions proposed in literature, the developed demonstrator is innovative, and represents the first step towards a real world application running in real time inside cars. Overall, this work is a useful contribution to active safety and autonomous driving applications based on sensor fusion and a good reference for further research on the topic.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130565729","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: 0

Driver Assistant in Automotive Socio-cyberphysical System - Reference Model and Case Study 汽车社会网络物理系统中的驾驶员助理——参考模型和案例研究

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2016-11-30 DOI: 10.5220/0005875201040111

A. Smirnov, A. Kashevnik, N. Shilov, I. Lashkov

引用次数: 2

Traffic Stream Short-term State Prediction using Machine Learning Techniques 基于机器学习技术的交通流短期状态预测

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2016-11-28 DOI: 10.5220/0005895701240129

Mohammed Elhenawy, H. Rakha, Hao Chen

引用次数: 0

Managing an Urban Transport System in Enhancing the Area Stability 管理城市交通系统，促进区域稳定

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2016-11-24 DOI: 10.5220/0005894101120117

I. Makarova, R. Khabibullin, E. Belyaev, V. Mavrin

引用次数: 1