Data collection is crucial in modern automotive engineering. Yet, the focus on technological development often overlooks legal, ethical, and privacy aspects. This feasibility study aims to bridge this knowledge gap for SMEs and research entities by examining the technical, legal, and ethical aspects impacting vehicle data collection. It provides a guide for organisations within the European context with a global perspective. The crucial importance of each aspect is highlighted within the modern context of connected vehicles, increasing cyber-attacks and the legal demands of handling and processing data. This report provides guidelines for hardware selection, software development, data handling and storage, cybersecurity, and privacy and legal compliance. It discusses the considerations for choosing data collection hardware, outlines the software methodologies for data acquisition and cloud synchronization, and provides an overview of cybersecurity in the context of automotive applications. The report also covers the handling and storage of both low-throughput and high-throughput data, with a focus on data types, retrieval, and storage options. It concludes with a discussion on legal aspects, particularly data ownership, protection under GDPR, and liability implications. The importance of these topics in the modern context of IoT connectivity, edge computing and the application of various AI technologies cannot be understated. The broad applications of such technologies encourages the use of data standards and interoperability for modern connected and autonomous vehicles. This document serves as a guide for SMEs and research entities involved in automotive data collection, providing information so they may better navigate and understand the complexities of modern automotive data collection, ensuring they consider all aspects. It highlights the importance of interdisciplinary expertise for modern automotive data collection and bridges the gaps in knowledge that organisations may have within a number of important topics for data collection. By bridging knowledge gaps, the report empowers organisations to make informed decisions about automotive data collection, ensuring accuracy, efficiency, and legal compliance.
City authorities want to know how to match the charging infrastructures for electric vehicles with the demand. Using camera recognition algorithms from artificial intelligence we investigated the behavior of taxis at a charging stations and a taxi stand.
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Increasingly, Instagram is discussed as a site for misinformation, inau-thentic activities, and polarization, particularly in recent studies aboutelections, the COVID-19 pandemic and vaccines. In this study, we havefound a different platform. By looking at the content that receives themost interactions over two time periods (in 2020) related to three U.S.presidential candidates and the issues of COVID-19, healthcare, 5G andgun control, we characterize Instagram as a site of earnest (as opposedto ambivalent) political campaigning and moral support, with a rela-tive absence of polarizing content (particularly from influencers) andlittle to no misinformation and artificial amplification practices. Mostimportantly, while misinformation and polarization might be spreadingon the platform, they do not receive much user interaction.
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