Titlebook: Decision-making Strategies for Automated Driving in Urban Environments; Antonio Artu?edo Book 2020 The Editor(s) (if applicable) and The A

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Democracies at War against Terrorismcaused by the impossibility to understand the nearby environment, predict future states, and act consequently by human drivers in critical situations where the behavior of traffic scene agents is highly unpredictable and the time to act is very low. In this sense, the anticipation to future driving scenes plays a key role in automated driving.

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Accountability and Democracy: An Assessmentex driving situations in a safe and human-like manner. In this regard, this thesis addresses the problem of motion planning in urban environments by proposing a decision-making and planning architecture where several modules with different functionalities provide human-like trajectories to the vehicle according to the perceived situation.

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Book 2020he trajectory, leading in some cases to adjustment of the high-level route to reach the given destination. The method has been validated through extensive theoretical and experimental analyses, which are reported here in detail..

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Decision-making Strategies for Automated Driving in Urban Environments

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Blind Quality Assessment of PFA-Affected Images Based on Chromatic Eigenvalue Ratio,f PFA image quality, provided the fringes are distributed in several parts of the image. This diversity has been captured by first characterizing the chrominance space spanned by the PFA pixels and then using the eigenvalue ratio as a measure of color diversity.

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Elisabetta Carlini,Francisco J. Silvaare not necessarily detrimental to economic growth, in fact they may foster it. I also regarded the welfare state and PAYG as part of a Classical view of income distribution in which there is no natural distribution setting associated with factors’ full employment as in the Neoclassical theory. Acco

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