International Conference on Vehicle Technology and Intelligent Transport Systems最新文献

Cooperative Maneuvers of Highly Automated Vehicles at Urban Intersections: A Game-theoretic Approach 城市十字路口高度自动化车辆的协同机动:博弈论方法

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2022-11-03 DOI: 10.5220/0009351500150026

Björn Koopmann, Stefan Puch, Günter Ehmen, M. Fränzle

{"title":"Cooperative Maneuvers of Highly Automated Vehicles at Urban Intersections: A Game-theoretic Approach","authors":"Björn Koopmann, Stefan Puch, Günter Ehmen, M. Fränzle","doi":"10.5220/0009351500150026","DOIUrl":"https://doi.org/10.5220/0009351500150026","url":null,"abstract":": In this paper, we propose an approach how connected and highly automated vehicles can perform cooperative maneuvers such as lane changes and left-turns at urban intersections where they have to deal with human-operated vehicles and vulnerable road users such as cyclists and pedestrians in so-called mixed trafﬁc. In order to support cooperative maneuvers the urban intersection is equipped with an intelligent controller which has access to different sensors along the intersection to detect and predict the behavior of the trafﬁc participants involved. Since the intersection controller cannot directly control all road users and – not least due to the legal situation – driving decisions must always be made by the vehicle controller itself, we focus on a decentralized control paradigm. In this context, connected and highly automated vehicles use some carefully selected game theory concepts to make the best possible and clear decisions about cooperative maneuvers. The aim is to improve trafﬁc efﬁciency while maintaining road safety at the same time. Our ﬁrst results obtained with a prototypical implementation of the approach in a trafﬁc simulation are promising.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979211","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

Visual Looming from Motion Field and Surface Normals 从运动场和表面法线的视觉隐现

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2022-10-08 DOI: 10.48550/arXiv.2210.04108

J. D. Yepes, D. Raviv

引用次数: 0

An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios 场景探索在城市场景自动驾驶系统开发与测试中寻找新场景的应用

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2022-05-17 DOI: 10.5220/0011064600003191

Barbara Schütt, Marc Heinrich, Sonja Marahrens, Johann Marius Zöllner, E. Sax

引用次数: 6

Parallel Parking: Optimal Entry and Minimum Slot Dimensions 平行停车:最佳入口和最小槽尺寸

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2022-05-05 DOI: 10.5220/0011045600003191

J. Vlasak, M. Sojka, Z. Hanzálek

引用次数: 1

Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems 识别现场数据场景，验证高度自动化驾驶系统

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2022-03-07 DOI: 10.5220/0011081500003191

Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, T. Dang, O. Bringmann

{"title":"Identifying Scenarios in Field Data to Enable Validation of Highly Automated Driving Systems","authors":"Christian Reichenbächer, Maximilian Rasch, Zafer Kayatas, Florian Wirthmüller, Jochen Hipp, T. Dang, O. Bringmann","doi":"10.5220/0011081500003191","DOIUrl":"https://doi.org/10.5220/0011081500003191","url":null,"abstract":"Scenario-based approaches for the validation of highly automated driving functions are based on the search for safety-critical characteristics of driving scenarios using software-in-the-loop simulations. This search requires information about the shape and probability of scenarios in real-world traffic. The scope of this work is to develop a method that identifies redefined logical driving scenarios in field data, so that this information can be derived subsequently. More precisely, a suitable approach is developed, implemented and validated using a traffic scenario as an example. The presented methodology is based on qualitative modelling of scenarios, which can be detected in abstracted field data. The abstraction is achieved by using universal elements of an ontology represented by a domain model. Already published approaches for such an abstraction are discussed and concretised with regard to the given application. By examining a first set of test data, it is shown that the developed method is a suitable approach for the identification of further driving scenarios.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"449 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123020045","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

Estimation of Looming from LiDAR 激光雷达对若隐若现的估计

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2022-02-22 DOI: 10.5220/0011115300003191

J. D. Yepes, D. Raviv

引用次数: 0

Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets 雷达伪迹标记框架(RALF):数据集中似是而非的雷达检测方法

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2020-12-03 DOI: 10.5220/0010395100220033

Simon T. Isele, M. Schilling, Fabian E. Klein, S. Saralajew, Johann Marius Zöllner

{"title":"Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets","authors":"Simon T. Isele, M. Schilling, Fabian E. Klein, S. Saralajew, Johann Marius Zöllner","doi":"10.5220/0010395100220033","DOIUrl":"https://doi.org/10.5220/0010395100220033","url":null,"abstract":"Research on localization and perception for Autonomous Driving is mainly focused on camera and LiDAR datasets, rarely on radar data. Manually labeling sparse radar point clouds is challenging. For a dataset generation, we propose the cross sensor Radar Artifact Labeling Framework (RALF). Automatically generated labels for automotive radar data help to cure radar shortcomings like artifacts for the application of artificial intelligence. RALF provides plausibility labels for radar raw detections, distinguishing between artifacts and targets. The optical evaluation backbone consists of a generalized monocular depth image estimation of surround view cameras plus LiDAR scans. Modern car sensor sets of cameras and LiDAR allow to calibrate image-based relative depth information in overlapping sensing areas. K-Nearest Neighbors matching relates the optical perception point cloud with raw radar detections. In parallel, a temporal tracking evaluation part considers the radar detections' transient behavior. Based on the distance between matches, respecting both sensor and model uncertainties, we propose a plausibility rating of every radar detection. We validate the results by evaluating error metrics on semi-manually labeled ground truth dataset of $3.28cdot10^6$ points. Besides generating plausible radar detections, the framework enables further labeled low-level radar signal datasets for applications of perception and Autonomous Driving learning tasks.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116417822","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

A Vehicle Telematics Service for Driving Style Detection: Implementation and Privacy Challenges 用于驾驶风格检测的车辆远程信息处理服务:实现和隐私挑战

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2020-05-04 DOI: 10.5220/0009329400290036

C. Kaiser, A. Stocker, A. Festl, Marija Djokic-Petrovic, Efi Papatheocharous, Anders Wallberg, Gonzalo Ezquerro, J. Orbe, Tom Szilagyi, M. Fellmann

{"title":"A Vehicle Telematics Service for Driving Style Detection: Implementation and Privacy Challenges","authors":"C. Kaiser, A. Stocker, A. Festl, Marija Djokic-Petrovic, Efi Papatheocharous, Anders Wallberg, Gonzalo Ezquerro, J. Orbe, Tom Szilagyi, M. Fellmann","doi":"10.5220/0009329400290036","DOIUrl":"https://doi.org/10.5220/0009329400290036","url":null,"abstract":"Connected mobility is not only a future market, but also holds great innovation potential. The analysis of vehicle telematics data in the cloud enables novel data-driven services for several stakeholders, e.g. a mobile application for the driver to obtain his driving style. This inevitably leads to privacy concerns and the question why and when are users willing to share driving telematic data, which we addressed in an empirical study. The paper presents an implementation of a data-driven service based on vehicle telematics data and discusses how privacy issues can be tackled. For the data-driven service, the most interesting steps along the vehicle data value chain are described in detail, firstly (i) vehicle telematics data collection, secondly, (ii) the wireless data transfer to a cloud platform, and thirdly, (iii) pre-processing and data analysis to evaluate the drivers’ driving style and analyse the driving risk. Finally, (iv) a smartphone application for drivers presents driving style and driving risk data on the smartphone in an interactive way, so that the driver can work on improving both, which has a positive effect on driving and road safety.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125642531","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

A Framework for Personalised HMI Interaction in ADAS Systems ADAS系统中个性化人机交互框架

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-11-16 DOI: 10.5220/0007801505860593

Yannis Lilis, Emmanouil Zidianakis, Nikolaos Partarakis, S. Ntoa, C. Stephanidis

{"title":"A Framework for Personalised HMI Interaction in ADAS Systems","authors":"Yannis Lilis, Emmanouil Zidianakis, Nikolaos Partarakis, S. Ntoa, C. Stephanidis","doi":"10.5220/0007801505860593","DOIUrl":"https://doi.org/10.5220/0007801505860593","url":null,"abstract":"Personalisation features of Advanced Driver Assistant Systems (ADAS) can improve safety and driving experience. However, they are typically developed in an ad-hoc, application-specific and vehicle-specific manner, resulting in tightly coupled implementations that are difficult to extend, while disallowing reuse of personalisation code or even personalisation logic across different setups. In this context, this paper proposes a framework for supporting personalised HMI interaction in ADAS systems, developed in the context of the H2020 ADAS&ME project. The framework is based on a rule engine that uses a customisable and extensible set of personalisation and adaptation rules, provided by automotive domain and HMI experts, and evaluates them according to the driver, vehicle and environment to produce HMI activation and GUI personalisation and adaptation decisions. Personalised HMI modality selection is realised by taking into account all available input and output modalities of the vehicle and maintaining bindings for their activation. At the same time, GUI personalisation is handled automatically through a GUI toolkit of personalisable and adaptable user controls that can be used for developing any GUI application requiring personalisation features. The paper presents the design and development of the framework and validates it by deploying it in two case studies.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131070172","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

Variety-aware Routing Encoding for Efficient Design Space Exploration of Automotive Communication Networks 基于多样性感知的路由编码的汽车通信网络有效设计空间探索

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-10-28 DOI: 10.5220/0007797802420253

Fedor Smirnov, Behnaz Pourmohseni, M. Glaß, J. Teich

{"title":"Variety-aware Routing Encoding for Efficient Design Space Exploration of Automotive Communication Networks","authors":"Fedor Smirnov, Behnaz Pourmohseni, M. Glaß, J. Teich","doi":"10.5220/0007797802420253","DOIUrl":"https://doi.org/10.5220/0007797802420253","url":null,"abstract":"The introduction of sophisticated ADAS has given rise to lar ger and more complex automotive communication networks whose efficient (in effort) and optimal (in qua lity) design necessarily depends on automated network design techniques. Typically, these techniques ei ther (a) optimize communication routes based on topology-independent constraint systems that encode the i nclusion of each network component in the route of a message or (b) depend on a timeand memory-expensive enume ration of all possible transmission routes to identify the optimal route. In this paper, we propose a nov el approach which combines the advantages of these two strategies to enable an efficient exploration of th e routing search space: First, the given network is preprocessed to identify so-called proxy areasin which each pair of nodes can be connected by exactly one route. Contrary to network areas with a variety of different routing possibilities, proxy areas do not offer any room for optimization. We propose two approaches—both inte grable into existing constraint systems—which exploit the knowledge gathered on proxy areas to improve the exploration efficiency during the routing optimization process. Experimental results for two mainstream topologies of automotive networks give evidence that, compared to state-of-the-art routing optimization a pproaches, the proposed approaches (a) offer an exploration speedup of up to ×185, (b) deliver network designs of equal or higher quality, and (c) enable an automated design of significantly larger automotive system .","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134591503","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