2018 IEEE Vehicular Networking Conference (VNC)最新文献_第6页

Cloud-based Vehicle Functions: Motivation, Use-cases and Classification 基于云的车辆功能:动机、用例和分类

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628342

F. Milani, C. Beidl

引用次数: 10

Using Mobile Phones to Crowd-source User Flow Data for Assessing Bike Sharing Site Suitability 利用手机众包用户流量数据评估共享单车站点适宜性

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628448

S. Wu, Luo Wei Lun, Ju-Ying Chan, LiChuan Yang, Irene Wan, H. Lin

引用次数: 7

Poster: First Performance Insights on Our Novel OFDM-based Vehicular VLC Prototype 海报:我们新颖的基于ofdm的车载VLC原型的首次性能洞察

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628322

Jorn Koepe, C. Kaltschmidt, Marvin Illian, Robert Puknat, Pascal Kneuper, Steffen Wittemeier, Agon Memedi, Claas Tebruegge, Muhammad Sohaib Amjad, Stephan Kruse, C. Kress, C. Scheytt, F. Dressler

引用次数: 2

Connectivity Maps for V2I communication via ETSI ITS-G5 通过ETSI ITS-G5进行V2I通信的连接图

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628446

M. Wegner, Timo Schwarz, L. Wolf

引用次数: 3

Realizing Collective Perception in the Artery Simulation Framework 在动脉仿真框架中实现集体感知

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628412

Keno Garlichs, M. Wegner, L. Wolf

引用次数: 11

Conceptual Sensors Testing Framework for Autonomous Vehicles 自动驾驶汽车概念传感器测试框架

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628370

Michael Jernigan, S. Alsweiss, J. Cathcart, R. Razdan

引用次数: 4

Mitigating Position Falsification Attacks in Vehicular Platooning 减轻车辆队列中的位置伪造攻击

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628427

Felipe Boeira, Mikael Asplund, M. Barcellos

引用次数: 8

Poster: Mix-Zones Everywhere: A Dynamic Cooperative Location Privacy Protection Scheme 海报:Mix-Zones Everywhere:一种动态合作的位置隐私保护方案

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628340

M. Khodaei, Panos Papadimitratos

引用次数: 5

OFDM Pilot-Based Radar for Joint Vehicular Communication and Radar Systems 车载通信与雷达联合系统中基于OFDM导频雷达

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628347

Ceyhun D. Ozkaptan, E. Ekici, O. Altintas, Chang-Heng Wang

{"title":"OFDM Pilot-Based Radar for Joint Vehicular Communication and Radar Systems","authors":"Ceyhun D. Ozkaptan, E. Ekici, O. Altintas, Chang-Heng Wang","doi":"10.1109/VNC.2018.8628347","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628347","url":null,"abstract":"With the large-scale deployment of connected and autonomous vehicles, the demand on wireless communication spectrum increases rapidly in vehicular networks. Due to increased demand, the allocated spectrum at the 5.9 GHz band for vehicular communication cannot be used efficiently for larger payloads to improve cooperative sensing, safety, and mobility. To achieve higher data rates, the millimeter-wave (mmWave) automotive radar spectrum at 76–81 GHz band can be exploited for communication. However, instead of employing spectral isolation or interference mitigation schemes between communication and radar, we design a joint system for vehicles to perform both functions using the same waveform. In this paper, we propose radar processing methods that use pilots in the orthogonal frequency-division multiplexing (OFDM) waveform. While the radar receiver exploits pilots for sensing, the communication receiver can leverage pilots to estimate the time-varying channel. The simulation results show that proposed radar processing can be efficiently implemented and meet the automotive radar requirements. We also present joint system design problems to find optimal resource allocation between data and pilot subcarriers based on radar estimation accuracy and effective channel capacity.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114179631","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: 33

iMOB: An Intelligent Urban Mobility Management System Based on Vehicular Social Networks 基于车辆社交网络的智能城市交通管理系统iMOB

2018 IEEE Vehicular Networking Conference (VNC) Pub Date : 2018-12-01 DOI: 10.1109/VNC.2018.8628436

A. T. Akabane, R. Immich, E. Madeira, L. Villas

{"title":"iMOB: An Intelligent Urban Mobility Management System Based on Vehicular Social Networks","authors":"A. T. Akabane, R. Immich, E. Madeira, L. Villas","doi":"10.1109/VNC.2018.8628436","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628436","url":null,"abstract":"The vehicular social networks (VSNs) paradigm is a special class of vehicular networks (VANETs), where features and social aspects are taken into account. Starting from this concept, two different approaches can be applied in VSNs, which are the social network analysis (SNA) measures and the social networking concepts (SNC). In the past few years, several systems have been proposed to deal with traffic congestion problems. They rely on integrating computational technologies such as VANETs, central server, and roadside units. A number of systems employ a hybrid approach, this means that they still need an infrastructure support (central server or roadside unit) to achieve the goals of the system. In order to surpass that, this work deals with the question of how to manage the urban mobility, when an en-route event is detected, in an infrastructure-less environment and scalable fashion. To achieve that, the main goal is to apply VSNs to investigate how SNA measures and SNC can help in the urban mobility management in a distributed fashion. To this end, it was proposed the iMOB system, which is an intelligent urban mobility management system. The system consists of the 3-tier: the environment sensing (bottom tier), the vehicle ranking mechanism (middle tier), and the altruistic rerouting decision (upper tier). The SNA egocentric betweenness measure is applied in the middle tier and SNCs such as social interactions and virtual community were utilized in the upper tier. iMOB was evaluated in simulation-based experiments being able to outperform all its competitors in all assessed metrics. The results obtained lead us to conclude that the application of concepts and analysis of social network, in a vehicular environment, have great potential to improve the reliability and efficiency of urban mobility management systems in a practical and cost-effective way.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117151373","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: 17