International Conference on Vehicle Technology and Intelligent Transport Systems最新文献_第3页

Lane Accurate Detection of Map Changes based on Low Cost Smartphone Data 基于低成本智能手机数据的地图变化车道精确检测

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-10-11 DOI: 10.5220/0007709401260137

Florian Jomrich, Daniel Bischoff, Steffen Knapp, Tobias Meuser, Björn Richerzhagen, R. Steinmetz

{"title":"Lane Accurate Detection of Map Changes based on Low Cost Smartphone Data","authors":"Florian Jomrich, Daniel Bischoff, Steffen Knapp, Tobias Meuser, Björn Richerzhagen, R. Steinmetz","doi":"10.5220/0007709401260137","DOIUrl":"https://doi.org/10.5220/0007709401260137","url":null,"abstract":"Self-driving vehicles rely on High Definition Street Maps (HD Maps) to ensure the safety and comfort of their driving capabilities. However, the road network infrastructure is subject to constant changes (e.g. through constructions works, accidents, ...). Such changes have to be quickly identified to avoid dangerous driving situations, for example through a reduction of driving speed or the safe handover of driving control back to the human. To address this issue we propose a road hazard detection algorithm that identifies and marks the extent of such changes based on crowdsourced GNSS data. To increase the detection speed of our proposed algorithm, we only rely on sensor information in the collection process, that is not only available through vehicles, but as well by cheap and ubiquitous devices carried on by the passengers such as smartphones. To deal with the limited accuracy of the collected data, we enhance existing algorithmic clustering approaches by leveraging additional meta-data such as the quality of the collected GNSS points and the vehicle’s current lane position. Our concept is evaluated with real world measurements in a highway construction site scenario showing improved performance in comparison to the Kernel Density Estimation reference algorithm, used versatile in Related Work.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123314676","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

Simulation Platform for Connected Heterogeneous Vehicles 互联异构车辆仿真平台

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-10-11 DOI: 10.5220/0007713004120419

Tobias Meuser, Daniel Bischoff, R. Steinmetz, Björn Richerzhagen

{"title":"Simulation Platform for Connected Heterogeneous Vehicles","authors":"Tobias Meuser, Daniel Bischoff, R. Steinmetz, Björn Richerzhagen","doi":"10.5220/0007713004120419","DOIUrl":"https://doi.org/10.5220/0007713004120419","url":null,"abstract":"The increasing number of connectivity features in current vehicles poses additional challenges for large-scale vehicular communication systems. Already deployed systems rely on the cellular network infrastructure, while the Wifi-based 802.11p standard will likely be implemented on a large scale in the next years. As realworld tests are costly, simulations are used to develop mechanisms for efficient short-range communication via 802.11p. However, efficient long-range communication between vehicles is pivotal for non-safety related information sharing. Current simulators often focus on short-range communication exchange, while approaches for efficient long-range communication are barely considered in automotive scenarios. To enable rapid development of new approaches, we propose a scalable simulation environment for automotive applications. Our contributions are (i) the realistic modeling of heterogeneous vehicles including sensors and network interfaces, (ii) the automated generation of road properties like accidents and jams, and (iii) a configurable back-end infrastructure distributing events to the vehicles. All of the above contributions enable rapid prototyping and evaluation of automotive applications in various environments. We showcase two exemplary use cases to demonstrate the versatility of our simulation framework: an efficient road-based dissemination approach for long-range information exchange and a distributed information validation approach.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125879685","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

A Computationally Efficient MPC for Green Light Optimal Speed Advisory of Highly Automated Vehicles 一种计算效率高的MPC用于高度自动化车辆的绿灯最优速度通知

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-10-11 DOI: 10.5220/0007717304440451

Stephan Uebel, S. Kutter, K. Hipp, Frank Schrödel

{"title":"A Computationally Efficient MPC for Green Light Optimal Speed Advisory of Highly Automated Vehicles","authors":"Stephan Uebel, S. Kutter, K. Hipp, Frank Schrödel","doi":"10.5220/0007717304440451","DOIUrl":"https://doi.org/10.5220/0007717304440451","url":null,"abstract":"The current study introduces an approach for energy efficient longitudinal vehicle guidance. The key idea is to utilize a model predictive control (MPC) for the longitudinal vehicle dynamics which explicitly considers the current and the predicted states of multiple traffic lights ahead. Consequently, the vehicle can drive in urban situations much more energy efficient, which can be used to enlarge the range of electric vehicles or save fuel while additionally improving travel time. Modern traffic lights are equipped with transmitters that send information about their actual and upcoming system states. Additionally, traffic lights connected to a traffic control center can broadcast their future signal phases to vehicles many kilometers ahead. This information may be used to adapt the vehicle speed so that engine operation points are optimal and stops can be avoided. These kind of algorithms are referred to as green light optimal speed advisory. This work presents a novel online capable MPC approach that uses a sequential quadratic program to solve the respective optimal control problem. This approach is implemented in a framework introduced as well which allows driving tests in a real vehicle.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134321808","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

Conditional Privacy: Users' Perception of Data Privacy in Autonomous Driving 条件隐私:自动驾驶中用户对数据隐私的感知

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-10-11 DOI: 10.5220/0007693803520359

Teresa Brell, Hannah Biermann, R. Philipsen, M. Ziefle

引用次数: 10

Intelligent Content Management System for Tourism Smart Mobility: Approach and Cloud-based Android Application 旅游智慧出行智能内容管理系统:方法与基于云的Android应用

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-07-23 DOI: 10.5220/0007715304260433

A. Smirnov, A. Kashevnik, N. Shilov, S. Mikhailov, O. Gusikhin, Harry Martinez

{"title":"Intelligent Content Management System for Tourism Smart Mobility: Approach and Cloud-based Android Application","authors":"A. Smirnov, A. Kashevnik, N. Shilov, S. Mikhailov, O. Gusikhin, Harry Martinez","doi":"10.5220/0007715304260433","DOIUrl":"https://doi.org/10.5220/0007715304260433","url":null,"abstract":"Intelligent content management systems have become more popular over the last few years in the tourism industry due to the significantly increasing impact on revenue. Such systems are the part of the smart mobility concept. Smart mobility allows tourists to become more comfortable with transportation in an unknown city by providing interesting information about places seen during their trip. Traditional taxies provide quick transportation from the point A to point B but people sometimes are interested in seeing attractions during their trips and are willing to spend more time and money to do so. Integration of the smartphone application with the vehicle infotainment system provides opportunities of new smart services construction that is based on information from vehicle sensors and Internet connection as well as utilization of in-cabin infrastructure and communication with the driver (suggesting the route preferred by the tourist, speed while going around attractions, adjust the temperature, music, and etc.). The paper presents an approach to smart mobility system development and its evaluation by showing the tourist video information about attractions around.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126748016","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

Energy-optimal Speed Trajectories between Stops and Their Parameter Dependence 停车间能量最优速度轨迹及其参数依赖关系

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007747605130520

Eduardo F. Mello, P. Bauer

{"title":"Energy-optimal Speed Trajectories between Stops and Their Parameter Dependence","authors":"Eduardo F. Mello, P. Bauer","doi":"10.5220/0007747605130520","DOIUrl":"https://doi.org/10.5220/0007747605130520","url":null,"abstract":"This paper addresses the problem of energy-optimal vehicle-speed trajectories between stops. The ideal parameter-dependent trajectory is introduced, and it is shown that it reduces transportation energy drastically relative to “typical trajectories” seen in traffic. The resulting trajectories can easily be implemented in self-driving cars and have the potential to significantly reduce transportation energy in networked vehicles and cities. The usage of this energy-optimal speed trajectories between stops can save significant amounts of energy, sometimes in excess of 30% when comparing to conventional traffic flow speed profiles. This paper also addresses the impact that vehicle and segment parameters have on the savings. The role of parameters such as the air drag coefficient, cross-sectional area, vehicle mass, efficiency, segment length, average speed, as well as acceleration capability are investigated. It is shown that optimizing speed trajectories to minimize transportation energy consistently results in energy savings. However, diminishing returns are observed for certain scenarios, such as long, low-speed segments.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127256467","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

Safety-relevant V2X Beaconing in Realistic and Scalable Heterogeneous Radio Propagation Fading Channels 现实和可扩展异构无线电传播衰落信道中与安全相关的V2X信标

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007712904040411

Daniel Bischoff, Harald Berninger, Steffen Knapp, Tobias Meuser, Björn Richerzhagen, L. Häring, A. Czylwik

{"title":"Safety-relevant V2X Beaconing in Realistic and Scalable Heterogeneous Radio Propagation Fading Channels","authors":"Daniel Bischoff, Harald Berninger, Steffen Knapp, Tobias Meuser, Björn Richerzhagen, L. Häring, A. Czylwik","doi":"10.5220/0007712904040411","DOIUrl":"https://doi.org/10.5220/0007712904040411","url":null,"abstract":"Performance evaluations for heterogeneous communication technologies in the area of V2X safety applications for either improvement, comparison or combination purposes are in general focusing on the realistic representation of the upper communication stack layers, but therefore - often for the sake of simplicity - reducing the radio propagation channel to a maximum range model. The impact and hence the importance to model the environment dependent propagation effects in a representative manner has already been stressed in the literature several times - but separately for ad-hoc or cellular systems and not under the consideration of V2X safety-beaconing applications. By combining a realistic heterogeneous radio propagation channel model with a state-of-the-art V2X communication stack, a representative performance comparison of safety-relevant beaconing applications for 802.11p single-hop broadcast (SHB) and LTE Geocast can be conducted. Our simulation results show that the effects caused by the radio propagation channel cannot be neglected as they significantly impact key communication performance metrics such as channel gain, packet error ratio (PER) and channel load, where we primarily focus on the latter one to give further research directions for an efficient dissemination of safety-relevant V2X beacons.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122476729","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 LSTM Approach to Detection of Autonomous Vehicle Hijacking 基于LSTM的自动驾驶汽车劫持检测方法

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007726004750482

N. Negi, Ons Jelassi, S. Clémençon, S. Fischmeister

{"title":"A LSTM Approach to Detection of Autonomous Vehicle Hijacking","authors":"N. Negi, Ons Jelassi, S. Clémençon, S. Fischmeister","doi":"10.5220/0007726004750482","DOIUrl":"https://doi.org/10.5220/0007726004750482","url":null,"abstract":"In the recent decades, automotive research has been focused on creating a driverless future. Autonomous vehicles are expected to take over tasks which are dull, dirty and dangerous for humans (3Ds of robotization). However, augmented autonomy increases reliance on the robustness of the system. Autonomous vehicle systems are heavily focused on data acquisition in order to perceive the driving environment accurately. In the future, a typical autonomous vehicle data ecosystem will include data from internal sensors, infrastructure, communication with nearby vehicles, and other sources. Physical faults, malicious attacks or a misbehaving vehicle can result in the incorrect perception of the environment, which can in turn lead to task failure or accidents. Anomaly detection is hence expected to play a critical role improving the security and efficiency of autonomous and connected vehicles. Anomaly detection can be defined as a way of identifying unusual or unexpected events and/or measurements. In this paper, we focus on the specific case of malicious attack/hijacking of the system which results in unpredictable evolution of the autonomous vehicle. We use a Long Short-Term Memory (LSTM) network for anomaly/fault detection. It is, first, trained on non-abnormal data to understand the system’s baseline performance and behaviour, monitored through three vehicle control parameters namely velocity, acceleration and jerk. Then, the model is used to predict over a number of future time steps and an alarm is raised as soon as the observed behaviour of the autonomous car significantly deviates from the prediction. The relevance of this approach is supported by numerical experiments based on data produced by an autonomous car simulator, capable of generating attacks on the system.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126794683","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

3D Car Tracking using Fused Data in Traffic Scenes for Autonomous Vehicle 基于融合数据的自动驾驶汽车交通场景三维车辆跟踪

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007674203120318

Can Chen, L. Z. Fragonara, A. Tsourdos

{"title":"3D Car Tracking using Fused Data in Traffic Scenes for Autonomous Vehicle","authors":"Can Chen, L. Z. Fragonara, A. Tsourdos","doi":"10.5220/0007674203120318","DOIUrl":"https://doi.org/10.5220/0007674203120318","url":null,"abstract":"Car tracking in a traffic environment is a crucial task for the autonomous vehicle. Through tracking, a self-driving car is capable of predicting each car’s motion and trajectory in the traffic scene, which is one of the key components for traffic scene understanding. Currently, 2D vision-based object tracking is still the most popular method, however, multiple sensory data (e.g. cameras, Lidar, Radar) can provide more information (geometric and color features) about surroundings and show significant advantages for tracking. We present a 3D car tracking method that combines more data from different sensors (cameras, Lidar, GPS/IMU) to track static and dynamic cars in a 3D bounding box. Fed by the images and 3D point cloud, a 3D car detector and the spatial transform module are firstly applied to estimate current location, dimensions, and orientation of each surrounding car in each frame in the 3D world coordinate system, followed by a 3D Kalman filter to predict the location, dimensions, orientation and velocity for each corresponding car in the next time. The predictions from Kalman filtering are used for re-identifying previously detected cars in the next frame using the Hungarian algorithm. We conduct experiments on the KITTI benchmark to evaluate tracking performance and the effectiveness of our method.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115973859","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

Driver Cell Phone Usage Violation Detection using License Plate Recognition Camera Images 基于车牌识别相机图像的驾驶员手机使用违规检测

International Conference on Vehicle Technology and Intelligent Transport Systems Pub Date : 2019-05-03 DOI: 10.5220/0007725804680474

Bensu Alkan, Burak Balci, Alperen Elihos, Y. Artan

{"title":"Driver Cell Phone Usage Violation Detection using License Plate Recognition Camera Images","authors":"Bensu Alkan, Burak Balci, Alperen Elihos, Y. Artan","doi":"10.5220/0007725804680474","DOIUrl":"https://doi.org/10.5220/0007725804680474","url":null,"abstract":"The increased use of digital video and image processing technology has paved the way for extending the traffic enforcement applications to a wider range of violations as well as making the enforcement process more efficient. Automated traffic enforcement has mainly been applied towards speed and red light violations detection. In recent years, there has been an extension to other violation detection tasks such as seat-belt usage, tailgating and toll payment violations. In the recent years, automated driver cell phone usage violation detection methods have aroused considerable interest since it results in higher mortality rates than the intoxicated driving. In this study, we propose a novel automated technique towards driver’s phone usage violation detection using deep learning algorithms. Using an existing license plate recognition camera system placed on an overhead gantry, installed on a highway, real world images are captured during day and night time. We performed experiments using more than 5900 real world images and achieved an overall accuracy of 90.8 % in the driver cell phone usage violation detection task.","PeriodicalId":218840,"journal":{"name":"International Conference on Vehicle Technology and Intelligent Transport Systems","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132787965","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