2015 IEEE Intelligent Vehicles Symposium (IV)最新文献_第7页

Traffic density estimation using dimensional analysis 基于量纲分析的交通密度估计

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225814

S. Amritha, S. Subramanian, L. Vanajakshi

{"title":"Traffic density estimation using dimensional analysis","authors":"S. Amritha, S. Subramanian, L. Vanajakshi","doi":"10.1109/IVS.2015.7225814","DOIUrl":"https://doi.org/10.1109/IVS.2015.7225814","url":null,"abstract":"Traffic density, defined as the number of vehicles per unit length, is the primary measure used for quantifying road congestion. However, the direct measurement of this variable is difficult due to its spatial nature and the only method to directly measure it from field is aerial photography. Hence, it is usually estimated from other easily measurable variables such as speed or flow. Some of the reported approaches to obtain density include the input output analysis, fundamental traffic flow relation, and occupancy-based measurements in addition to those based on statistics, machine learning or model-based approaches. However, for better performance, all these methods require the careful selection of the relevant input variables/parameters and their relationships. One way of obtaining these relationships is to perform a dimensional analysis of the variables/parameters involved, identifying the non-dimensional variables/parameters and then obtaining a relationship between them using experimental data. This approach has been attempted for estimating road traffic density in this paper. The appropriate non-dimensional variables/parameters that characterize road traffic flow were first determined and the relation between them was then found out using simulated data. This relationship was subsequently used to estimate density for other datasets and the results were found to be promising.","PeriodicalId":294701,"journal":{"name":"2015 IEEE Intelligent Vehicles Symposium (IV)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115612668","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

Dynamic obstacles avoidance based on image-based dynamic window approach for human-vehicle interaction 基于图像的人车交互动态窗口方法的动态避障

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225666

Yue Kang, Danilo Alves de Lima, A. Victorino

引用次数: 13

Velodyne-based curb detection up to 50 meters away 基于velodyne的路缘检测可达50米远

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225693

Tongtong Chen, B. Dai, Daxue Liu, Jinze Song, Zhao Liu

引用次数: 39

The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections 驾驶员认知分心对停车控制交叉口车辆性能的影响

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225806

Yuan Liao, S. Li, Wenjun Wang, Y. Wang, Guofa Li, B. Cheng

{"title":"The impact of driver cognitive distraction on vehicle performance at stop-controlled intersections","authors":"Yuan Liao, S. Li, Wenjun Wang, Y. Wang, Guofa Li, B. Cheng","doi":"10.1109/IVS.2015.7225806","DOIUrl":"https://doi.org/10.1109/IVS.2015.7225806","url":null,"abstract":"Driver distraction has been identified as an important driving safety issue. However, existed studies focused less on low-speed condition, especially at intersections. This paper aims to find the impact of driver cognitive distraction on vehicle performance at stop-controlled intersections. Eight subjects (young adult: 4, older adult: 4) participated in this study and each of them drove through 40 stop-controlled intersections. The intersections were presented randomly at two levels of FOV (field of view). Driver cognitive distraction was induced by a one-back task and a clock task. Results showed that the cognitive tasks led to more abrupt steering in both age groups while significant influence on lane-keeping capability was only observed in the young group. Steering smoothness was mainly influenced by the cognitive tasks at brake on-restart phase in the young group while at after-restart phase in the older group. Impaired longitudinal control (stop for watching) was observed in the older adult group. These findings can be applied to automatically recognize driver distraction at stop-controlled intersections in future.","PeriodicalId":294701,"journal":{"name":"2015 IEEE Intelligent Vehicles Symposium (IV)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115001919","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: 7

Coordinated standoff tracking of in- and out-of-surveillance targets using constrained particle filter for UAVs 基于约束粒子滤波的无人机监视内外目标协调对峙跟踪

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225734

H. Oh, Cunjia Liu, Seungkeun Kim, Hyo-Sang Shin, Wen‐Hua Chen

引用次数: 1

Implementation of a multi-criteria tracking based on the dempster-Shafer theory 基于dempster-Shafer理论的多准则跟踪实现

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225728

Valentin Magnier, D. Gruyer, J. Godelle

引用次数: 6

Collision-free and kinematically feasible path planning along a reference path for autonomous vehicle 自动驾驶汽车参考路径的无碰撞运动可行路径规划

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225800

M. Fu, Kai Zhang, Yi Yang, Hao Zhu, Meiling Wang

引用次数: 13

Accelerometer tyre to estimate the aquaplaning state of the tyre-road contact 加速计用于估计轮胎与路面接触的打滑状态

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225709

Arto J. Niskanen, A. Tuononen

引用次数: 10

The deeva autonomous vehicle platform deeva自动驾驶汽车平台

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225765

A. Broggi, S. Debattisti, P. Grisleri, M. Panciroli

引用次数: 11

Fast PatchMatch stereo matching using cross-scale cost fusion for automotive applications 快速PatchMatch立体匹配使用跨尺度成本融合汽车应用

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225783

Ji-Ho Cho, M. Humenberger

引用次数: 5