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

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Optimal Trajectory Generation,scenarios. Whilst much progress has been attained in the perception and localization domains, digital representations of the world are still incomplete. As a result, understanding the spatio-temporal relationship between the subject vehicle and the relevant entities whilst constrained by the road network might be very difficult a challenge.

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Conclusions,ex 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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Eva-Maria Bruchhaus,Amanuel MehreteabAutomated driving is considered to be one of the key technologies and major technological advances that influence and shape our future mobility and quality of life. So much so that most of the current activity in research and development in the field of Intelligent Transportation Systems (ITS) is focused on it.

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Demobilization in Subsaharan AfricaAVs can be defined as those in which at least some safety-critical aspects occur without direct driver input Villagra et al. in Intelligent vehicles. Elsevier, pp 275-342, 2018 [.]). In other words, an AV is able to, at least partly, perform a driving task independently of a human driver.

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Eva-Maria Bruchhaus,Amanuel Mehreteabto have the expected behaviour in the driving scenarios for which it has been designed. These driving scenarios are more and more demanding as they include a growing number of inter-connected and heterogeneous agents and the associated caseload may become intractable. Thus, the design of the archite