2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)最新文献_第7页

Opportunity fast-charging of e-buses: a preliminary study for the city of Savona 电动公交车快速充电的机遇:萨沃纳市的初步研究

2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307434

Carola Leone, M. Longo, F. Foiadelli, S. Bracco, G. Piazza, F. Delfino

引用次数: 2

Why Europe does not need revolutionary rules for automated vehicles 为什么欧洲不需要革命性的自动驾驶汽车规则

2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307418

Alejandro Zornoza

引用次数: 0

Advanced 1D Temporal Deep Dilated Convolutional Embedded Perceptual System for Fast Car-Driver Drowsiness Monitoring 用于汽车驾驶员嗜睡快速监测的先进一维时间深度扩展卷积嵌入式感知系统

2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307400

F. Rundo, C. Spampinato, S. Battiato, F. Trenta, S. Conoci

{"title":"Advanced 1D Temporal Deep Dilated Convolutional Embedded Perceptual System for Fast Car-Driver Drowsiness Monitoring","authors":"F. Rundo, C. Spampinato, S. Battiato, F. Trenta, S. Conoci","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307400","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307400","url":null,"abstract":"Recently, Advanced Driver Assistance System solutions (ADAS) are significantly contributing to the increase in driving safety levels. ADAS leverages the capability of taking active control of vehicle to prevent potentially dangerous situations. Specifically, researchers have investigated the analysis of the car driver attention level. Recent reports confirmed that there is an increasing incidence of driving crashes occurred for drowsiness or inattentiveness of the driver. In this regard, several authors suggested to monitor the car driver’s physiological status due to the well known complex correlation between the Autonomic Nervous System (ANS) and the corresponding level of attention. To carry out this study, we used an innovative bio-sensor consisting of a coupled device that includes near-infrared LED emitters and photo-detectors (Silicon PhotoMultiplier device) to assess the driver’s physiological status through the associated PhotoPlethysmGraphy (PPG) signal. We also designed an embedded time-domain hyper-filtering approach combined with a 1D Temporal Convolutional architecture with a progressive dilation setup. The proposed system performs a near real-time classification of the car driver drowsiness achieving impressive results in terms of accuracy (about 96%).","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123338422","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: 7

Assessing Lightweight Layouts for a Parallel Hybrid Electric Vehicle Driveline 评估并联混合动力汽车传动系统的轻量化布局

2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307392

Matteo Spano, P. G. Anselma, G. Belingardi, D. Misul, E. Spessa

{"title":"Assessing Lightweight Layouts for a Parallel Hybrid Electric Vehicle Driveline","authors":"Matteo Spano, P. G. Anselma, G. Belingardi, D. Misul, E. Spessa","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307392","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307392","url":null,"abstract":"The presence of multiple power sources and the several possible architectures that can be designed when referring to hybrid electric vehicle (HEV) powertrains complicate the identification of an optimal HEV configuration. Among the diverse parameters that can be chosen in design and sizing processes of a parallel full HEV, the number of gears and the gear ratios in the transmission are considered as fulcra of this case study. For this scope, five different transmissions have been sized while assessing drivability and acceleration performance along with the fuel economy capability. A dynamic programming-based approach algorithm has been utilized for controlling the HEV, thus providing reliable outcomes and enhancing the consistency of the study. The results obtained in the sizing process suggest that the presence of an electric machine may mitigate the effect of the lower number of gears and enhance the fuel consumption efficiency even when reducing the number of gears in the transmission to 2 or 3. More precisely, even though they might be associated to slightly higher fuel consumption and, in turn, operative costs compared with the other considered configurations, these drawbacks can be overcome by the higher savings in production costs, thus suggesting parallel full HEVs with a reduced number of gears as an appealing design option.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125958639","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

The "first and euRopEAn siC eighT Inches pilOt liNe": a project, called REACTION, that will boost key SiC Technologies upgrading (developments) in Europe, unleashing Applications in the Automotive Power Electronics Sector “欧洲首条碳化硅8英寸试验线”:一个名为REACTION的项目，将推动欧洲关键碳化硅技术的升级(开发)，释放在汽车电力电子领域的应用

2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-11-18 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307385

A. Messina, A. Imbruglia, M. Calabretta, V. Vinciguerra, C. Moise, A. Sitta, M. Enăchescu, F. Roccaforte

{"title":"The \"first and euRopEAn siC eighT Inches pilOt liNe\": a project, called REACTION, that will boost key SiC Technologies upgrading (developments) in Europe, unleashing Applications in the Automotive Power Electronics Sector","authors":"A. Messina, A. Imbruglia, M. Calabretta, V. Vinciguerra, C. Moise, A. Sitta, M. Enăchescu, F. Roccaforte","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307385","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307385","url":null,"abstract":"REACTION is an EU Innovation Action Funded Project which aims to develop the first worldwide 200mm Silicon Carbide (SiC) Pilot Line for SiC based Power technology. The project, which mainly addresses the Smart Mobility societal challenge (car electrification), will allow to match the ever-increasing demand of requirements in terms of quality and cost constraint for next decade generation’s power electronics. A major strength of the project is the complete value chain implementation of the Pilot Line, which integrates and optimizes the cooperation and partnership among producers of 8\" SiC substrates and equipment developers, as well as SiC process technologists, RTOs and end-users partners, in order to deliver the final applications. Hence, to achieve innovative SiC power devices with improved performances, along with cost and size reduction, are the most relevant requirements addressed in the project that are expected to lead to a new stronger European supply chain for very compact SiC converters, ideal for the addressed Automotive application.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114916341","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: 13

LiDAR point-cloud processing based on projection methods: a comparison 基于投影方法的激光雷达点云处理:比较

2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2020-08-03 DOI: 10.23919/AEITAUTOMOTIVE50086.2020.9307387

Guidong Yang, S. Mentasti, M. Bersani, Yafei Wang, F. Braghin, F. Cheli

{"title":"LiDAR point-cloud processing based on projection methods: a comparison","authors":"Guidong Yang, S. Mentasti, M. Bersani, Yafei Wang, F. Braghin, F. Cheli","doi":"10.23919/AEITAUTOMOTIVE50086.2020.9307387","DOIUrl":"https://doi.org/10.23919/AEITAUTOMOTIVE50086.2020.9307387","url":null,"abstract":"An accurate and rapid-response perception system is fundamental for autonomous vehicles to operate safely. 3D object detection methods handle point clouds given by LiDAR sensors to provide accurate depth and position information for each detection, together with its dimensions and classification. The information is then used to track vehicles and other obstacles in the surroundings of the autonomous vehicle, and also to feed control units that guarantee collision avoidance and motion planning. Nowadays, object detection systems can be divided into two main categories. The first ones are the geometric based, which retrieve the obstacles using geometric and morphological operations on the 3D points. The seconds are the deep learning-based, which process the 3D points, or an elaboration of the 3D point-cloud, with deep learning techniques to retrieve a set of obstacles. This paper presents a comparison between those two approaches, presenting one implementation of each class on a real autonomous vehicle. Accuracy of the estimates of the algorithms has been evaluated with experimental tests carried in the Monza ENI circuit. The positions of the ego vehicle and the obstacle are given by GPS sensors with real time kinematic (RTK) correction, which guarantees an accurate ground truth for the comparison. Both algorithms have been implemented on ROS and run on a consumer laptop.","PeriodicalId":104806,"journal":{"name":"2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127367662","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

[Copyright notice] (版权)

2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) Pub Date : 2018-06-01 DOI: 10.1109/sysose.2018.8428756

引用次数: 0