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.
Built on and inspired by existing knowledge, we have conceptualised a model in which two different user types (occupants and facility managers) are positioned to the building and its climate and regulatory systems. Thus, a feedback loop and interaction take place among all actors involved. The users, as well as the building itself, have a level of agency and control over the building climate and provide feedback to each other through their actions and behaviour. Following the model, several research questions were defined. These deliverable answers one of them: What are the requirements for an interface that supports control and feedback for facility managers and building dwellers? We have conducted user research over several months to define requirements for the interfaces that will support the interaction between users and the building. Interviews have yielded user data that have enabled us to define an early set of user need statements and two user personas. A workshop during the consortium meeting on 17 November 2022 was held to inform and gather feedback on these results. The user need statements and personas defined in this project phase will serve as a basis for design cycles in which we will design and test interfaces within the B4Blabs. Results from this iterative approach will further finetune and shape these requirements as we go. Therefore, the requirements presented in this deliverable should be regarded as a ‘living document’ rather than a ‘set in stone’ record.
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