2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)最新文献_第2页

A Novel Tuning Approach of the H∞ Filter for Longitudinal Tracking of Automated Vehicles 一种用于自动驾驶车辆纵向跟踪的H∞滤波器的新调谐方法

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965076

Jasmina Zubaca, M. Stolz, D. Watzenig

引用次数: 2

Empirical Testing of Automotive Cyber-Physical Systems with Credible Software-in-the-Loop Environments 基于可信软件在环环境的汽车信息物理系统实证测试

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965169

Indrasen Raghupatruni, Thomas Goeppel, Muhammed Atak, Julien Bou, T. Huber

{"title":"Empirical Testing of Automotive Cyber-Physical Systems with Credible Software-in-the-Loop Environments","authors":"Indrasen Raghupatruni, Thomas Goeppel, Muhammed Atak, Julien Bou, T. Huber","doi":"10.1109/ICCVE45908.2019.8965169","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965169","url":null,"abstract":"Automotive cyber-physical systems are constantly increasing in complexity, especially due to innovations like sophisticated advanced driver assistance features. The increase in system complexity, in turn, gives rise to complex distributed software which creates challenges for verification. Front-loading tests that are regularly performed in prototype vehicles or Hardware-in-the-Loop (HiL) to simulation and Software-in-the-Loop (SiL) environments can be used to validate design decisions and to significantly reduce overall development costs. Novel Automated Driving features, and the Open Context problem, however, move the challenge from the state-to-the-art to a knowledge problem (know-what instead of know-how). The ISO/PAS 21448:2019 for Safety of the Intended Functionality (SOTIF) acknowledges this change but no guidance is provided to the industry to making verification processes ready for operating vehicles in an Open Context environment that may require functional changes during the useful life of a vehicle. Since verification with HiL or vehicles will be all but impractical, in this paper we provide insights into the design of credible SiL environments that address functional and non-functional verification and validation concerns of software related automotive system in a continuous life-cycle. With the help of a use-case we demonstrate the significance of the novel approach compared to traditional automotive industry methods.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"5 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":"124594013","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: 5

Research on Autonomous Driving based on a Highly Flexible Prototype Vehicle 基于高柔性原型车的自动驾驶研究

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8964945

Helmut Brunner, Xuelei Zhi, Matthias Mietschnig, Stephen Jones, Su Zhou, Gerald Steinbauer, M. Hirz

{"title":"Research on Autonomous Driving based on a Highly Flexible Prototype Vehicle","authors":"Helmut Brunner, Xuelei Zhi, Matthias Mietschnig, Stephen Jones, Su Zhou, Gerald Steinbauer, M. Hirz","doi":"10.1109/ICCVE45908.2019.8964945","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8964945","url":null,"abstract":"Based on a flexible prototype vehicle and object recognition algorithms from robotic science, the present research aims at new approaches in the development of autonomous driving vehicles. An advanced prototype vehicle, driven by four independent hub motors that provide maneuverability and driving function far beyond automotive standards, serves as the basis for investigations. Enhanced know-how from robotic disciplines comprises sensor technology, navigation algorithms and the autonomous vehicle control system. With the integrated research vehicle, several autonomous driving testing scenarios are carried out to enable comprehensive evaluation and potential assessment of different technologies and development approaches in view of future R&D activities. The study shows, that: A)4WID-4WIS (four wheel independent driving and four wheel independent steering) electric vehicle is much more flexible and efficient to achieve superior performance in aspect of dynamics and drive ability than traditional vehicles. B)Object recognition and path planning algorithms in the robotics science can be implemented in the development of autonomous driving techniques and have achieved convincing results. C)This research ensures a decoupling of the basic vehicle control from the overall robotic path planning and following system. A commonly defined interface enables the adaption of the overall control system to various vehicle types.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"1 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":"128331473","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: 1

Sliding Mode Methods in Electric Vehicle Stability Control 滑模方法在电动汽车稳定性控制中的应用

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965171

T. Agliullin, V. Ivanov, M. Kaddari, Vincenzo Ricciardi, D. Savitski, K. Augsburg

引用次数: 1

On Driver-Vehicle-Environment Integration for Multi-Actuated Ground Vehicles Safety Advancement: An Overview of the Interdisciplinary Training Network in Multi-Actuated Ground Vehicles 多驱动地面车辆安全提升的人-车-环境集成:多驱动地面车辆跨学科训练网络综述

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965226

A. Aksjonov, Halil Beglerovic, Michael Hartmann, Shriram C. Jugade, Cyrano Vaseur

{"title":"On Driver-Vehicle-Environment Integration for Multi-Actuated Ground Vehicles Safety Advancement: An Overview of the Interdisciplinary Training Network in Multi-Actuated Ground Vehicles","authors":"A. Aksjonov, Halil Beglerovic, Michael Hartmann, Shriram C. Jugade, Cyrano Vaseur","doi":"10.1109/ICCVE45908.2019.8965226","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965226","url":null,"abstract":"Transportation systems are invariably burdened with dynamically changing environmental conditions and ill-defined human factor. To raise ground vehicle safety on a new supreme level and to boost autonomous vehicles development driver-vehicle-environment cooperation is inevitable. In this paper, an overview of several existing driver-vehicle-environment integration methods with purpose of vehicle safety enhancement are stressed. Five unique and fundamentally different solutions are proposed, which have common similarity: the solutions are accomplished with machine learning algorithms. The methods aim at modelling drivers' or vehicles' behaviour with reasonable prediction accuracy under various complex scenarios. All five solutions are developed in individual projects in a framework of a continuous interdisciplinary European network ITEAM. The aim of the paper is to underline significant benefit of man-machine-environment integration in vehicle safety systems by exploiting fairly received tremendous attention machine learning methods.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"83 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":"131604609","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: 2

Evaluation of an indoor localization system for a mobile robot 移动机器人室内定位系统的评价

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965234

V. Jiménez, C. Schwarzl, Helmut Martin

引用次数: 5

Optimizing coverage of simulated driving scenarios for the autonomous vehicle 优化自动驾驶汽车模拟驾驶场景的覆盖范围

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965211

M. Nabhan, Marc Schoenauer, Y. Tourbier, H. Hage

{"title":"Optimizing coverage of simulated driving scenarios for the autonomous vehicle","authors":"M. Nabhan, Marc Schoenauer, Y. Tourbier, H. Hage","doi":"10.1109/ICCVE45908.2019.8965211","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965211","url":null,"abstract":"Self-driving cars and advanced driver-assistance systems are perceived as a game-changer in the future of road transportation. However, their validation is mandatory before industrialization; testing every component should be assessed intensively in order to mitigate potential failures and avoid unwanted problems on the road. In order to cover all possible scenarios, virtual simulations are used to complement real-test driving and aid in the validation process. This paper focuses on the validation of the command law during realistic virtual simulations. Its aim is to detect the maximum amount of failures while exploring the input search space of the scenarios. A key industrial restriction, however, is to launch simulations as little as possible in order to minimize computing power needed. Thus, a reduced model based on a random forest model helps in decreasing the number of simulations launched. It accompanies the algorithm in detecting the maximum amount of faulty scenarios everywhere in the search space. The methodology is tested on a tracking vehicle use case, which produces highly effective results.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"90 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":"123160769","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

Heterogeneity of Microscopic Congested Traffic Data Based on Drone Measurements 基于无人机测量的微观拥堵交通数据异质性研究

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965096

Yildirim Dülgar, M. Menth, H. Rehborn, Micha Koller

引用次数: 0

Harmonizing Heterogeneous Diagnostic Data of a Vehicle Fleet for Data-Driven Analytics 基于数据驱动分析的车队异构诊断数据协调

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8965126

Sidney Körper, Roland Herberth, F. Gauterin, O. Bringmann

{"title":"Harmonizing Heterogeneous Diagnostic Data of a Vehicle Fleet for Data-Driven Analytics","authors":"Sidney Körper, Roland Herberth, F. Gauterin, O. Bringmann","doi":"10.1109/ICCVE45908.2019.8965126","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8965126","url":null,"abstract":"Data-driven technologies, such as predictive maintenance, become increasingly important to today's automotive industry due to advancements of connected cars and Over-the-Air technologies. A data source that has barely been used in the literature so far is diagnostic data, which is obtained by sending requests to the electronic control units of a vehicle. Diagnostic data can be collected cost-effectively and is already available on a large scale to car manufacturers today. However, the use of diagnostic data is associated with some difficulties. The set of measured variables differs greatly between different vehicles of the same type due to different configurations and therefore differences in the electronic control units. In this contribution, we show how diagnostic data can be harmonized for the use of data-driven modeling. An heuristic three-step procedure is introduced to identify similar measured variables. Finally, our approach is verified on a synthetic data set. Future data-driven technologies are able to use larger and more cost-efficient data sets this way.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"109 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":"122331778","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: 1

Network Load Adaptation for Collective Perception in V2X Communications V2X通信中集体感知的网络负载自适应

2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2019-11-01 DOI: 10.1109/ICCVE45908.2019.8964988

Quentin Delooz, Andreas Festag

{"title":"Network Load Adaptation for Collective Perception in V2X Communications","authors":"Quentin Delooz, Andreas Festag","doi":"10.1109/ICCVE45908.2019.8964988","DOIUrl":"https://doi.org/10.1109/ICCVE45908.2019.8964988","url":null,"abstract":"Collective perception uses V2X communications to increase the perception capabilities of vehicles. Relying on the perceived data from their local sensors, nodes exchange information about the objects they detect in their surroundings. An object can be anything significant for the nodes' safety, e.g., obstacles on the road, other vehicles or pedestrians. The amount of data generated by each node is determined by the number of perceived objects and the generation frequency of the messages carrying the detected objects. Considering the limited bandwidth of the wireless channel, the data load generated by collective perception can easily exceed the channel capacity. In this paper, we investigate three schemes that filter the number of objects in the messages and thereby adjust the network load in order to optimize the transmission of perceived objects. Our simulation-based performance evaluation indicates that the use of filtering is an effective approach to improve network-related performance metrics, whereas the expected impairment of the perception quality is rather small. The comparison of the filtering algorithms provide insights into the tradeoff between network-related metrics and perception quality.","PeriodicalId":384049,"journal":{"name":"2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)","volume":"18 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":"127152287","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: 21