2015 IEEE Intelligent Vehicles Symposium (IV)最新文献_第2页

Lane change maneuver recognition via vehicle state and driver operation signals — Results from naturalistic driving data 通过车辆状态和驾驶员操作信号来识别变道机动-来自自然驾驶数据的结果

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225793

Guofa Li, S. Li, Yuan Liao, Wenjun Wang, B. Cheng, Fang Chen

引用次数: 42

Development and implement of an inspection robot for power substation 变电站巡检机器人的研制与实现

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225673

Haojie Zhang, Bo Su, Haiping Song, W. Xiong

{"title":"Development and implement of an inspection robot for power substation","authors":"Haojie Zhang, Bo Su, Haiping Song, W. Xiong","doi":"10.1109/IVS.2015.7225673","DOIUrl":"https://doi.org/10.1109/IVS.2015.7225673","url":null,"abstract":"Along with the development demand of intelligent power substation, mobile robot is implemented to serve power substations. The robot is equipped with inspecting sensors, such as CCD camera and thermal infrared imager which are together referred to as workload. These inspecting sensors are used to detect the environment parameters e.g. reading meter, measuring temperature etc., inside the substation. However, due to the strong electromagnetic interference inside substation, accurate localization of the workload and inspection robot is still a difficult problem to be solved. Existing methods solve the problem by paving magnetic strips or rail. However, in this way, the working area of the robot is limited by the paved infrastructures. In this paper, an inspection robot system is developed for working in substation. In the proposed system, the localization of the robot is realized using adaptive Monte-Carlo localization based on the known environment model. A visual servo system is designed to realize the high accuracy localization of the workload. The proposed robot system should guarantee to obtain fine inspecting results of equipments in substation.","PeriodicalId":294701,"journal":{"name":"2015 IEEE Intelligent Vehicles Symposium (IV)","volume":"78 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":"132298854","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: 15

Lane map building and localization for automated driving using 2D laser rangefinder 基于二维激光测距仪的自动驾驶车道地图构建与定位

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225763

Dongwook Kim, Taeyoung Chung, K. Yi

引用次数: 35

A visual parking guidance for surround view monitoring system 一种用于环视监控系统的可视停车引导系统

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225662

Mengmeng Yu, Guanglin Ma

引用次数: 9

Developing a framework of Eco-Approach and Departure application for actuated signal control 开发驱动信号控制的生态方法框架及出发应用

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225782

Peng Hao, Guoyuan Wu, K. Boriboonsomsin, M. Barth

引用次数: 27

Optimizing fuel economy of hybrid electric vehicles using a Markov decision process model 基于马尔可夫决策过程模型的混合动力汽车燃油经济性优化

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225769

X. Lin, Yanzhi Wang, P. Bogdan, N. Chang, Massoud Pedram

引用次数: 8

Sampling-based collision warning system with smartphone in cloud computing environment 云计算环境下基于智能手机采样的碰撞预警系统

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225843

S. Tak, Soomin Woo, H. Yeo

{"title":"Sampling-based collision warning system with smartphone in cloud computing environment","authors":"S. Tak, Soomin Woo, H. Yeo","doi":"10.1109/IVS.2015.7225843","DOIUrl":"https://doi.org/10.1109/IVS.2015.7225843","url":null,"abstract":"For improvement of road safety, many collision-warning systems are developed. In this study, we propose Sampling-based Collision Warning System (SCWS) that overcomes the limitations of existing collision warning systems such as high installation cost, requirement of high market penetration rate, and the lack of consideration of traffic dynamics. SCWS gathers vehicle operation data though smartphones of drivers on the road and shares the information of surrounding vehicles' movement through a cloud server. From the pool of information on the cloud, SCWS uses sampled data, which indirectly represents the traffic state and traffic changes in the perspective of the leader vehicle. Therefore, SCWS can effectively replace the leader vehicle's information with the average behavior of sampled surrounding vehicles. The performance of SCWS is evaluated with comparison to Vehicle-to-Vehicle communication based Collision Warning System (VCWS) and Infrastructure based Collision Warning System (ICWS), where VCWS is considered the most similar measure to the actual collision risk in theory, but in practice very difficult to achieve due many limitations, such as high installation cost and market penetration. The result shows that in both aggregation and disaggregation level analysis the proposed SCWS exhibits a similar collision risk trend to the VCWS. Furthermore, the SCWS shows a high potential for practical application because it has the acceptable performance even with a low sampling ratio (40%), requiring a low market penetration rate and low installation cost by using the wide spread smartphone.","PeriodicalId":294701,"journal":{"name":"2015 IEEE Intelligent Vehicles Symposium (IV)","volume":"108 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":"127956448","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: 4

Improved energy efficiency and vehicle dynamics for battery electric vehicles through torque vectoring control 通过转矩矢量控制提高电池电动汽车的能源效率和车辆动力学

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225774

Stefan Koehler, A. Viehl, O. Bringmann, W. Rosenstiel

引用次数: 18

Optimal tire force allocation for trajectory tracking with an over-actuated vehicle 过度驱动车辆轨迹跟踪的最佳轮胎力分配

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225820

Hyung-Kui Park, J. C. Gerdes

引用次数: 27

Submap-based SLAM for road markings 基于子地图的道路标记SLAM

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225910

Eike Rehder, Alexander Albrecht

引用次数: 13