2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)最新文献_第5页

Wireless Communication System for the Validation of Autonomous Driving Functions on Full-Scale Vehicles 用于全尺寸车辆自动驾驶功能验证的无线通信系统

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519492

V. Cañas, Eduardo Sánchez Morales, M. Botsch, Andrés García

{"title":"Wireless Communication System for the Validation of Autonomous Driving Functions on Full-Scale Vehicles","authors":"V. Cañas, Eduardo Sánchez Morales, M. Botsch, Andrés García","doi":"10.1109/ICVES.2018.8519492","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519492","url":null,"abstract":"The validation of driving functionalities for vehicles is a crucial step towards the implementation of mass production. This is especially true for autonomous functionalities. This paper presents the evaluation of a wireless communication system to aid in the validation of functionalities of full-scale autonomous vehicles in test tracks. The purpose of this system is to allow the analysis of the response of an autonomous function of a vehicle under different driving circumstances. This supports more realistic and relevant tests, since only full-scale vehicles participate in the circuits instead of dummies or crash targets. It also keeps humans out of harm’s way, since no occupants are needed inside the vehicles while the execution of the tests due to an autonomous maneuvering system that is controlling the pedals and the steering wheel. This wireless link complies with a series of constraints required for operation with full-scale vehicles. These are: real-time capabilities, connection stability and low packet loss rate. The compliance with these constraints is validated in a test track. For this, a series of tests are set up and performed under controlled conditions to provide specific evaluation parameters.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133347276","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 comparitive study on the control of UAVs for Trajectory tracking by MPC, SMC, Backstepping, and Fuzzy Logic controllers MPC、SMC、Backstepping和模糊逻辑控制器对无人机轨迹跟踪控制的比较研究

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519511

Mohamed Nasr, Mostafa Ashraf, Mahmoud S. Hussein, A. M. Salem, Catherine M. Elias, Omar M. Shehata, E. I. Morgan

引用次数: 8

Experimental Analysis of Sensor Requirements for eBike Rider Assistance Systems 电动自行车辅助系统传感器需求的实验分析

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519585

Dauer Felix, D. Görges, A. Wienss

引用次数: 4

VEHIOT: Evaluation of Smartphones as Data Acquisition Systems to Reduce Risk Situations in Commercial Vehicles VEHIOT:评估智能手机作为数据采集系统，以减少商用车的风险情况

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519524

Jonatan Pajares Redondo, Lisardo Prieto-González, Mat Max Montalvo Martínez, Javier García Guzmán, S. Sanchez, M. J. L. Boada, B. L. Boada

{"title":"VEHIOT: Evaluation of Smartphones as Data Acquisition Systems to Reduce Risk Situations in Commercial Vehicles","authors":"Jonatan Pajares Redondo, Lisardo Prieto-González, Mat Max Montalvo Martínez, Javier García Guzmán, S. Sanchez, M. J. L. Boada, B. L. Boada","doi":"10.1109/ICVES.2018.8519524","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519524","url":null,"abstract":"Vehicle dynamics studies are an indispensable characteristic to improve the vehicle stability and handling. To fulfil this requirement, control systems are included in commercial vehicles nowadays. These control systems consider variables such as lateral acceleration, roll rate and sideslip angle, that can be directly obtained from sensors or estimated from the collected data. With the objective of incorporating control systems without increasing the price of these vehicles, it is necessary to develop low-cost embedded systems, capable of acquiring data from a diversity of sensors to execute estimations and to perform control actions under real-time constraints. The increase of capabilities and features provided by smartphones enable them as data acquisition and processing devices. In this paper, an analysis in terms of reliability, accuracy and acquisition have been performed for two different smartphones in order to study the possibility to use this kind of devices as a low-cost sensing platform for vehicle dynamic applications. Each smartphone used in this study is classified into a different category (low-end or high-end device) depending on not only its price but also its specifications. Both yaw rate and lateral acceleration have been analyzed in order to quantify the performance of each smartphone. These variables have a direct influence on the vehicle lateral dynamics. Experimental tests have been carried out in a real scenario and the VBOX IMU connected with the VBOX 3i data logger of Racelogic has been used as the ground truth.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115984678","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

DUCER: a Fast and Lightweight Error Correction Scheme for In-Vehicle Network Communication DUCER:一种快速轻量级的车载网络通信纠错方案

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519508

Hongxin Kong, Jun Cheng, K. Narayanan, Jiang Hu

引用次数: 1

An Adaptive 3D Grid-Based Clustering Algorithm for Automotive High Resolution Radar Sensor 汽车高分辨率雷达传感器的自适应三维网格聚类算法

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519483

Mingkang Li, Martin Stolz, Zhaofei Feng, M. Kunert, R. Henze, F. Küçükay

{"title":"An Adaptive 3D Grid-Based Clustering Algorithm for Automotive High Resolution Radar Sensor","authors":"Mingkang Li, Martin Stolz, Zhaofei Feng, M. Kunert, R. Henze, F. Küçükay","doi":"10.1109/ICVES.2018.8519483","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519483","url":null,"abstract":"Novel automotive high resolution radar sensors can detect several thousands of reflection points from the surrounding environment, e.g., pedestrians, cyclists, vehicles and roadside infrastructure. For object classification and tracking, the detection points belonging to the same object shall be clustered into one group before further processing. This paper presents an adaptive clustering approach based on a range/angle/velocity-grid generated originally from the radar signal processing and angle estimation stage. In contrast to an x/y-approach, multiple reflection points will not be merged into one single grid cell at close ranges, but keep their individual information in different assigned grid cells. A time and storage efficient process with a clustering window according to grid indices is implemented to search for the points with similarity in all three dimensions. In order to eliminate the parameter dependency and the incorrect clustering due to uncertainties of real radar measurements, this approach is extended with a model-based clustering window depending on the tracked and estimated object contour. By validation with various measurement data, stable clustering results with almost perfect true positive rates are achieved independently of the prevailing parameters and object types.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128322850","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: 19

Numerical Evaluation of the Safety of Self-Driving Vehicles: Functionality Involving Vehicle Detection 自动驾驶汽车安全性的数值评估:涉及车辆检测的功能

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519521

J. Pimentel, Jennifer Bastiaan, M. Zadeh

引用次数: 3

Combined Driver Distraction and Intention Algorithm for Maneuver Prediction and Collision Avoidance 机动预测与避碰的驾驶员分心与意图联合算法

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519520

Katharina Gillmeier, Tobias Schuettke, F. Diederichs, Gloriya Miteva, D. Spath

{"title":"Combined Driver Distraction and Intention Algorithm for Maneuver Prediction and Collision Avoidance","authors":"Katharina Gillmeier, Tobias Schuettke, F. Diederichs, Gloriya Miteva, D. Spath","doi":"10.1109/ICVES.2018.8519520","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519520","url":null,"abstract":"Driver intention detection holds high potential for adaptive driver assistance systems and automated driving functions. To develop a combined driver distraction and intention model as well as an intention detection algorithm a real driving study with 45 subjects performing 1260 braking and 1890 evasion maneuvers was conducted and analyzed. The driver‘s distraction level and hand position are varied to analyze their influence on driver intention. With a probabilistic approach, a sensitivity analysis of indicators for detecting driver intention was developed. The accelerator pedal and the longitudinal and lateral accelerations reveal to be most sensitive for evasion, while the longitudinal acceleration, the brake pressure and the accelerator pedal are most sensitive for braking. By using this sensitivities for algorithm design and combining them with information about whether drivers have recognized the object and their distraction level, evasion maneuvers can be detected correctly at least three seconds prior to passing the object in 91 % of all cases, braking maneuvers in 87 % of all cases. The driver‘s distraction level turned out to be relevant for intention recognition, as 87 % of drivers reduce their distraction at least three seconds prior to passing the object. We conclude that drivers cannot have a relevant intention and be highly distracted at the same time. Driver distraction detection hence contributes to the driver intention recognition. A three seconds prediction frame allow effective risk mitigation by warning and automated interventions.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117237798","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

Approximation Of Emission For Heavy Duty Trucks In City Traffic 城市交通中重型卡车排放的近似计算

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519596

Mehmet Ali Silgu, Kenan Muderrisoglu, Ahmet Halit Unsal, H. B. Çelikoglu

引用次数: 11

Enhancing the Accuracy of Parking Assistant Sensors with Bayesian Filter 用贝叶斯滤波提高泊车辅助传感器的精度

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519512

A. M. Nascimento, P. Cugnasca, L. Vismari, J. B. C. Junior, J. R. Almeida

{"title":"Enhancing the Accuracy of Parking Assistant Sensors with Bayesian Filter","authors":"A. M. Nascimento, P. Cugnasca, L. Vismari, J. B. C. Junior, J. R. Almeida","doi":"10.1109/ICVES.2018.8519512","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519512","url":null,"abstract":"Sonar distance sensors are commonly used for obstacle detection and distance measurement, providing input information for different applications, such as collision avoidance algorithms and vehicle parking assistants. However, they have a wide range of quality and accuracy, resulting in prices ranging from $0.55 to over $100 per unit. As it is often necessary to use a few units in parking assistants and those are deployed on a largescale vehicle production, the unit price is a critical factor. However, the simple choice of the lowest price sensors directly impacts on the measurements reliability, since they have high levels of noise in the values of their measurements. Therefore, this presents the results of the experiments using the Bayesian Recursive Estimation technique – also known as Bayesian Filtering – to increase the accuracy and reliability of low-cost sonar sensor measurements. A prototype is implemented and evaluated in simulated and real (physical) experimental environments. Using this approach, a significant accuracy improvement on distance measurements was observed compared to the raw data obtained from sensors. The results suggest this approach can be an alternative to be considered to reduce costs when equipping vehicles with parking assistants.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129270519","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