2011 IEEE Intelligent Vehicles Symposium (IV)最新文献_第8页

Modify car following model by human effects based on Locally Linear Neuro Fuzzy 基于局部线性神经模糊的人为影响对汽车跟随模型进行修正

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI: 10.1109/IVS.2011.5940465

A. Khodayari, A. Ghaffari, R. Kazemi, R. Braunstingl

引用次数: 15

Vehicle dynamics and road geometry estimation using a Takagi-Sugeno fuzzy observer with unknown inputs 基于未知输入的Takagi-Sugeno模糊观测器的车辆动力学和道路几何估计

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI: 10.1109/IVS.2011.5940491

H. Dahmani, M. Chadli, A. Rabhi, A. Hajjaji

引用次数: 10

Recursive pose dependent AAM: Application to drivers' monitoring 递归姿态相关AAM:在驾驶员监控中的应用

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI: 10.1109/IVS.2011.5940574

L. Teijeiro-Mosquera, J. Alba-Castro

引用次数: 4

Socio-economic assessment of the SAFESPOT cooperative systems - Methodology, final assessment results and deployment conclusions 安全地点合作系统的社会经济评估。方法、最终评估结果和部署结论

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI: 10.1109/IVS.2011.5940559

T. Geissler, R. Schindhelm, A. Luedeke

{"title":"Socio-economic assessment of the SAFESPOT cooperative systems - Methodology, final assessment results and deployment conclusions","authors":"T. Geissler, R. Schindhelm, A. Luedeke","doi":"10.1109/IVS.2011.5940559","DOIUrl":"https://doi.org/10.1109/IVS.2011.5940559","url":null,"abstract":"This paper reports the methodology and the results of the socio-economic impact assessment of the SAFESPOT cooperative systems. Two application bundles, based on communication between vehicles or between vehicles and the infrastructure, which address the same problem areas of road safety (intersections, hazardous road and weather conditions, speed and inappropriate distance), are compared concerning their socio-economic benefits and system costs for the target year 2020. The results show that the infrastructure based bundle is slightly more effective in avoiding casualties, thus leading to higher safety benefits. The system costs are dominated by the infrastructure costs so that the lower invehicle costs of the infrastructure based system are outweighed by far. In terms of benefit-cost ratio the system based on vehicle-vehicle communication proves its efficiency whereas the vehicle-infrastructure based system is too expensive under the assumptions introduced for the assessment. In general it can be concluded that cooperative systems, especially when infrastructure comes into play, should aim towards leaner and smarter equipment at lower unit costs. Concerning deployment, it is argued that the system based on vehicle-vehicle communication looks more promising from the socio-economic perspective. The equipment of infrastructure on a limited scale, concentrating on black spots, would help to overcome the critical mass threshold of the vehicle-vehicle applications in early deployment phase.","PeriodicalId":117811,"journal":{"name":"2011 IEEE Intelligent Vehicles Symposium (IV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129799815","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: 3

Geometrically motivated set-point control strategy for the standard N-trailer vehicle 标准n型挂车的几何激励设定点控制策略

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI: 10.1109/IVS.2011.5940436

M. Michałek

引用次数: 16

A spectral clustering and kalman filtering based objects detection and tracking using stereo vision with linear cameras 基于光谱聚类和卡尔曼滤波的立体视觉线性摄像机目标检测与跟踪

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI: 10.1109/IVS.2011.5940540

Safaa Moqqaddem, Y. Ruichek, R. Touahni, A. Sbihi

引用次数: 6

Improving the performance of vehicular networks in high traffic density conditions with cognitive radios 利用认知无线电提高高交通密度条件下的车联网性能

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI: 10.1109/IVS.2011.5940575

N. Kirsch, Brett M. O'Connor

引用次数: 13

Hierarchical scene understanding for intelligent vehicles 面向智能车辆的分层场景理解

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI: 10.1109/IVS.2011.5940566

J. Spehr, Dennis Rosebrock, Daniel Mossau, R. Auer, Stefan Brosig, F. Wahl

引用次数: 9

Feature-based speed limit sign detection using a graphics processing unit 基于特征的限速标志检测使用图形处理单元

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI: 10.1109/IVS.2011.5940539

Vladimir Glavtchev, Pınar Muyan-Özçelik, Jeffrey M. Ota, John Douglas Owens

引用次数: 28

StereoScan: Dense 3d reconstruction in real-time 立体扫描:密集的三维重建实时

2011 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2011-06-05 DOI: 10.1109/IVS.2011.5940405

Andreas Geiger, Julius Ziegler, C. Stiller

{"title":"StereoScan: Dense 3d reconstruction in real-time","authors":"Andreas Geiger, Julius Ziegler, C. Stiller","doi":"10.1109/IVS.2011.5940405","DOIUrl":"https://doi.org/10.1109/IVS.2011.5940405","url":null,"abstract":"Accurate 3d perception from video sequences is a core subject in computer vision and robotics, since it forms the basis of subsequent scene analysis. In practice however, online requirements often severely limit the utilizable camera resolution and hence also reconstruction accuracy. Furthermore, real-time systems often rely on heavy parallelism which can prevent applications in mobile devices or driver assistance systems, especially in cases where FPGAs cannot be employed. This paper proposes a novel approach to build 3d maps from high-resolution stereo sequences in real-time. Inspired by recent progress in stereo matching, we propose a sparse feature matcher in conjunction with an efficient and robust visual odometry algorithm. Our reconstruction pipeline combines both techniques with efficient stereo matching and a multi-view linking scheme for generating consistent 3d point clouds. In our experiments we show that the proposed odometry method achieves state-of-the-art accuracy. Including feature matching, the visual odometry part of our algorithm runs at 25 frames per second, while - at the same time - we obtain new depth maps at 3-4 fps, sufficient for online 3d reconstructions.","PeriodicalId":117811,"journal":{"name":"2011 IEEE Intelligent Vehicles Symposium (IV)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116220840","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: 1104