2021 Zooming Innovation in Consumer Technologies Conference (ZINC)最新文献_第2页

Improvement of the diagnostic tool for visual representation of vehicle signals 车辆信号视觉表示诊断工具的改进

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499285

Andrej Kaprocki, M. Bjelica, Zvonimir Kaprocki, M. Milosevic

{"title":"Improvement of the diagnostic tool for visual representation of vehicle signals","authors":"Andrej Kaprocki, M. Bjelica, Zvonimir Kaprocki, M. Milosevic","doi":"10.1109/ZINC52049.2021.9499285","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499285","url":null,"abstract":"Because of the constant improvement of automotive technology and the introduction of many new advanced driver assistance systems, vehicle communication is getting more complicated every day, with more data being transferred. A big part of the automotive technology development process is testing. Autonomous driving testing is a complex process, which is important both during the development and with the finished product. The focus of this paper are diagnostic tools used during this testing, specifically, diagnostic tools for live visual representation of vehicle signals. The result of the research shows what a modern visualization diagnostic tool in the automotive industry needs to contain. After a thorough analysis of existing applications of this type, the issues regarding application scaling and signal lag and synchronization were described. Also, a lack of controls and unclear visual representation were noticed. Based on these issues, the proposed solution suggests how this type of application can be improved, by both fixing the mentioned issues, and also expanding the application so that the improved application meets all the needs. The evaluation showed that the improved application offers a more precise representation of the signals, in addition to being more user-friendly. Furthermore, with additional controls, the solution improves the process of automotive real-time testing.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132729184","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

Implementation of different image edge detection algorithms on a real embedded ADAS platform 不同图像边缘检测算法在实际嵌入式ADAS平台上的实现

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499254

Dario Ćorić, I. Kastelan, M. Herceg, N. Pjevalica

{"title":"Implementation of different image edge detection algorithms on a real embedded ADAS platform","authors":"Dario Ćorić, I. Kastelan, M. Herceg, N. Pjevalica","doi":"10.1109/ZINC52049.2021.9499254","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499254","url":null,"abstract":"Advanced Driver-Assistance Systems (ADASs) are becoming more and more popular in modern vehicles in the last years. A number of them are based on processing the images captured by in-vehicle cameras. Furthermore, in image processing-based ADAS algorithms one of the most important steps often is edge detection. Therefore, it is important to properly choose the edge detection method, to achieve high performance and low processing time. Due to limited hardware resources available when using real ADAS platforms, the trade-off is needed. In this paper, the implementation of four different edge detection operators (Sobel, Prewitt, Laplace and Canny) onto a real ADAS Alpha board is performed. The implementation is performed using the Vision Software Development Kit (SDK), which is a multi-processor software platform specifically optimized to work with Texas Instruments (TI) Systems-On-Chip (SoCs) that Alpha board consists of. To test the operators’ performance in a real ADAS operational environment, the Berkeley dataset is used. The output results of each edge detector are compared to available ground truth labeled images from the Berkeley dataset to check which detector achieves the highest performance in terms of edge detection accuracy. Furthermore, the operators are compared in terms of execution time and memory usage. It was shown that Canny operator requires the longest execution time and the highest amount of memory, but it also achieves the highest edge detection accuracy. It is also shown that the trade-off between detector accuracy and its requirements can be achieved in certain situations where it is acceptable.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133610973","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

Hidden Sadness Detection: Differences between Men and Women 隐藏的悲伤探测:男性和女性的差异

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499261

Ana Vesić, A. Mićović, Vuk Ignjatović, Sava Lakićević, Milica Čolović, M. Zivkovic, Marina Marjanovic

引用次数: 1

A Robust Stability Approach for Current-Controlled Grid-Connected Inverters Using PCC Voltage Feedforward Method 一种基于PCC电压前馈的电流控制并网逆变器鲁棒稳定性方法

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/zinc52049.2021.9499278

A. Akhavan, J. Vasquez, J. Guerrero

引用次数: 1

Evaluation of fleet management data collection backend using Cassandra database 车队管理评估数据采集后端使用Cassandra数据库

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499260

Nikolina Bodiroga, Marija Antic, Petar Zecevic, M. Bjelica

引用次数: 3

Case Study: A tool for classification of system model parameters 案例研究:用于系统模型参数分类的工具

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499305

Nikola Hlavsa, Ivan Vidovic, Miodrag Đukić, N. Cetic

引用次数: 0

Recognition of maximal speed limit traffic signs for use in advanced ADAS algorithms 识别最高速度限制交通标志，用于先进的ADAS算法

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499300

Barbara Strišković, M. Vranješ, D. Vranješ, M. Popovic

{"title":"Recognition of maximal speed limit traffic signs for use in advanced ADAS algorithms","authors":"Barbara Strišković, M. Vranješ, D. Vranješ, M. Popovic","doi":"10.1109/ZINC52049.2021.9499300","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499300","url":null,"abstract":"Advanced Driver Assistance Systems (ADAS) have been increasingly developing, specifically in the last decade. One of such ADAS is that intended for traffic signs recognition. This paper deals with the recognition of a specific subset of traffic signs, i.e. speed limit traffic signs. The complete solution is based on the usage of machine learning and finally implemented in the C programming language. After the optimization process, the final solution is implemented on the real ADAS board, to check its performance in a real operational environment. Due to the limited resources of the ADAS board itself, a simple Convolutional Neural Network (CNN) was created to recognize speed limit traffic signs. For CNN training a large database of 6891 training images is used. When testing the solution, 731 test images from the real traffic are used, as well as 123 real video sequences. The test results show that in certain situations the proposed solution is capable of achieving high performance in terms of precision, while in some cases additional improvements of the solution should be investigated. It is capable of processing 12 frames per second when operating with state-of-the-art automotive camera resolution, i.e. 1280x720 pixels.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116821473","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

ADAS algorithm for creating a wider view of the environment with a blind spot display for the driver ADAS算法用于为驾驶员创建更广阔的环境视图，并显示盲点

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499264

J. Kundid, M. Vranješ, Ž. Lukač, M. Popovic

{"title":"ADAS algorithm for creating a wider view of the environment with a blind spot display for the driver","authors":"J. Kundid, M. Vranješ, Ž. Lukač, M. Popovic","doi":"10.1109/ZINC52049.2021.9499264","DOIUrl":"https://doi.org/10.1109/ZINC52049.2021.9499264","url":null,"abstract":"Examining the blind spot of the vehicle while driving using the vehicle mirror and looking over the shoulder causes a critical time when the driver does not have an overview of the environment in front of the vehicle, which can be the cause of traffic accidents. For that reason, this paper presents the implementation of the solution for stitching multiple frames with the overlap area, obtained by vehicle cameras with the aim of increasing the visibility of the environment behind the vehicle and eliminating the need for a classic view over the shoulder. A real ADAS (Advanced Driver-Assistance System) development board and the three real automotive cameras were mounted on a small vehicle model and were used to create test videos. After frame stitching, correcting the brightness of the stitched frame is also implemented to achieve a higher quality of final output frame. The performed subjective quality evaluation results using 10 neutral viewers confirm that the proposed solution achieves high performance in terms of the quality of the output image. However, the results related to the measured execution time of the proposed solution show that it cannot achieve a real-time performance in its current form when implemented on real ADAS board. Therefore, for the proposed solution the intention is to use the Vehicle-to-Infrastructure (V2I) communication and remote data processing center which should process more demanding tasks of the solution.","PeriodicalId":308106,"journal":{"name":"2021 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128857290","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

A prototype of a system for detecting G force in an automobile, based on two ESP32’s 基于两台ESP32的汽车重力检测系统原型

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499259

Ivan Gutai, P. Sovilj, Marina Subotin, Đorđe Novaković, Nemanja Gazivoda, B. Vujicic

引用次数: 0

Current Best Opposition-Based Learning Salp Swarm Algorithm for Global Numerical Optimization 当前最佳的基于对立学习的Salp群算法用于全局数值优化

2021 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2021-05-26 DOI: 10.1109/ZINC52049.2021.9499275

Timea Bezdan, A. Petrovic, M. Zivkovic, I. Strumberger, V. Devi, N. Bačanin

引用次数: 9