2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)最新文献_第4页

On the Reliability of VANET Safety Applications for Bicycles 自行车VANET安全应用的可靠性研究

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965195

M. Baqer, A. Krings

引用次数: 2

Laboratory Emulator Using Connected Scaled Cars to Study Traffic Waves 使用连接的缩放汽车研究交通波的实验室模拟器

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8964888

S. Hornstein, Klaus Trangbaek

引用次数: 0

Path following controller for autonomous vehicles 自动驾驶汽车路径跟踪控制器

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8964960

Ádám Domina, V. Tihanyi

引用次数: 9

Comparing two systematic approaches for testing automated driving functions 比较两种测试自动驾驶功能的系统方法

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965209

Hermann Felbinger, Florian Klück, Yihao Li, M. Nica, Jianbo Tao, F. Wotawa, Martin Zimmermann

引用次数: 6

Intersection Crossing in Mixed Traffic Flow Environment leveraging V2X information 利用V2X信息的混合交通流环境下的十字路口穿越

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965228

G. Bifulco, Bianca Caiazzo, Angelo Coppola, S. Santini

引用次数: 3

Urban Intersection Management with Connected Infrastructure Objects and Autonomous Vehicles 基于互联基础设施对象和自动驾驶汽车的城市交叉口管理

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8964917

S. Chuprov, I. Viksnin, Iuliia Kim

{"title":"Urban Intersection Management with Connected Infrastructure Objects and Autonomous Vehicles","authors":"S. Chuprov, I. Viksnin, Iuliia Kim","doi":"10.1109/ICCVE45908.2019.8964917","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8964917","url":null,"abstract":"The congestion of urban car traffic creates many problems at once to the residents of metropolises, from emissions of harmful substances into the atmosphere to annually increasing mortality in road traffic accidents. Recent achievements in the field of artificial intelligence and the organization of the movement of autonomous vehicles today allow us to create concepts that may become ubiquitous in the near future. In this paper, the authors consider the possibilities for creating an intelligent transport infrastructure within the concept of a smart city using cyber-physical systems. The aspects of information security in the use of cyber-physical systems are considered, approaches to solving problems of intersection management are discussed. Intersections in cities loaded with traffic can be compared with bottlenecks - the trajectory of many vehicles overlap and congestion occurs. To increase the capacity of urban streets, the authors presented a model of the system that regulates the movement of vehicles at the intersection. To assess the feasibility of using the developed model, the authors developed a software simulator of two connected urban intersections. For comparison, a simulator of the intersections, regulated by a traffic lights, was also developed. The results of the experiments allow us to say that the developed model is more efficient than the traffic light in the framework of this study.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122642782","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

Identification of performance limitations of sensing technologies for automated driving 识别自动驾驶传感技术的性能限制

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965181

H. Martin, B. Winkler, Stephanie Grubmüller, D. Watzenig

{"title":"Identification of performance limitations of sensing technologies for automated driving","authors":"H. Martin, B. Winkler, Stephanie Grubmüller, D. Watzenig","doi":"10.1109/ICCVE45908.2019.8965181","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965181","url":null,"abstract":"Today's automotive functions are more and more complex, because of the automation of driving assistance to different levels of automated driving. Functions like Extended-Automated Emergency Braking (E-AEB) are implemented by Automated Driving System (ADS), which are intended to improve active safety of road vehicles such as cars, trucks, and buses. ADS functions are safety-critical in sense of Functional Safety according to ISO 26262, because any malfunction may lead to a harm of people. Limitations of sensor technologies and algorithms of ADS can lead to an unwanted hazardous situation, which is addressed in the first Public Available Specification (PAS) called Safety of the intended Functionality (SOTIF, ISO/PAS 21448). This paper presents a work in progress of a systematic workflow to identify the so-called “triggering events” of sensing units based on camera and Light Detection And Ranging (LIDAR). The workflow has been used for a systematic analysis to identify triggering events of relevant sensor technologies for an E-AEB use case. In the last step, an evaluation of sensor modelling tools for simulation of sensor imperfections has been performed. Furthermore, the results will be used to derive simulation test cases for verification and validation of such sensing technology.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131097576","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: 6

Towards Privacy in Geographic Message Dissemination for Connected Vehicles 车联网地理信息传播中的隐私问题研究

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965198

S. Ruehrup, S. Krenn

引用次数: 0

A Deep Learning Approach for Location Independent Throughput Prediction 一种位置无关吞吐量预测的深度学习方法

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965216

Josef Schmid, Mathias Schneider, A. Höß, Björn Schuller

{"title":"A Deep Learning Approach for Location Independent Throughput Prediction","authors":"Josef Schmid, Mathias Schneider, A. Höß, Björn Schuller","doi":"10.1109/ICCVE45908.2019.8965216","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965216","url":null,"abstract":"Mobile communication has become a part of everyday life and is considered to support reliability and safety in traffic use cases such as conditionally automated driving. Nevertheless, prediction of Quality of Service parameters, particularly throughput, is still a challenging task while on the move. Whereas most approaches in this research field rely on historical data measurements, mapped to the corresponding coordinates in the area of interest, this paper proposes a throughput prediction method that focuses on a location independent approach. In order to compensate the missing positioning information, mainly used for spatial clustering, our model uses low-level mobile network parameters, improved by additional feature engineering to retrieve abstracted location information, e. g., surrounding building size and street type. Thus, the major advantage of our method is the applicability to new regions without the prerequisite of conducting an extensive measurement campaign in advance. Therefore, we embed analysis results for underlying temporal relations in the design of different deep neuronal network types. Finally, model performances are evaluated and compared to traditional models, such as the support vector or random forest regression, which were harnessed in previous investigations.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121606090","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: 18

Analysis of Data Collected by the 700 MHz Band Intelligent Transport Systems for Reducing Ambulance Transportation Time 700兆赫波段智能交通系统收集的数据分析，以减少救护车运输时间

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965232

T. Mitani, T. Yamazato, K. Naito, Yuki Mori

引用次数: 0