This document does not aim to review automated vehicles' developments and technologies but automated functions in existing vehicles. Therefore this document reports the results from the benchmarking search carried out within A1.1 for systems that are relevant to the project's preliminary Use Cases of ADAS&ME project. This report reflects the work carried out in order to reach MS2 (M3) of ADAS&ME and the literature review carried out for each affective state. However, it acted as a living document until the submission of D1.1 (M6) to be incorporated in the main body of D1.1. In general, benchmarking is considered a continuous and systematic approach to measure the processes and outputs against the most relevant (and occasionally) toughest competitors in the business, or at least the most prominent/ profitable ones. This is a so called competitive benchmarking approach. Three different types of results are included in this document: a) benchmarking of driver and rider monitoring systems, b) literature search and reviews of literature on drive/rider affective states as defined within DoA and UCs, and, lastly, c) alignment of the SoA collected, systems benchmarked; with key selected organization's priorities and roadmaps about automated vehicle systems and functions. The deliverable opens with the introduction to automation, the objectives of the document, the working group that was involved in A1.1 and worked towards this compilation and the contribution of this document to the selection and refinement of the ADAS&ME Use Case (Chapter 1). An overview of addressed affective states per Use Cases, as they are currently agreed upon, are presented in Chapter 2, along with their general definitions and driver monitoring techniques and systems. Chapter 3 presents an introduction to main research findings per affective state, followed by a literature review overview table, including connection to the project and respective Use Cases. The complete compilation per affective state is included in sub-sections of Annex 1. The table at the end of the Executive Summary includes the number of journals reviewed. In addition, a short literature review was carried out to investigate the automation strategies for stabilisation mechanisms for motorcycles. The work and relevant findings are included in main the document and the rest are also in an Annex. The literatures review is followed by the benchmarking of existing technologies (SoA) for drivers and riders per addressed affective state (Chapter 4). Similarly, an overview of findings is presented in the table at the end of the summary. In addition, studies from other transport modes were reviewed, for their potential of transferring knowledge, methods and techniques. The results are summarised in a Table in Section 4.3, but the whole compilation of the studies was annexed. Chapter 5 presents the alignment of A1.1 results with the efforts of several established organizations, such as ACEM, ERTRAC, NCAP and the international collaborations within CARTRE project. The Deliverable concludes with Chapter 6, where an overview of the results, in terms of numbers and relevance (key categorization) to the project, are presented.
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