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Conference object . 2018
License: CC BY
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Conference object . 2018
License: CC BY
Data sources: Datacite
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Stop & Go a cooperative maneuver for automated vehicles based on virtual and real environment

Authors: Carlos Hidalgo; Mauricio Marcano; Gerardo Fernández; Joshue Peréz; Myriam Vaca;

Stop & Go a cooperative maneuver for automated vehicles based on virtual and real environment

Abstract

The implementation of cooperative maneuvers between automated vehicles is a necessary for the improvement of the Advanced Driver Assistence Systems (ADAS). However, the development of these strategies in real vehicles depends on the availability of experimentals platforms, which involves high costs and a lot of testing time. In this line of thought, the present work shows a tool for the design of the Stop & Go cooperative maneuver, making use of a virtual environment for the simulation of a leading vehicle, along with an automated electric vehicle that performs the tracking within a closed circuit. For the design of the maneuver, a V2V communication system between the two platforms will be established, bearing in mind that they execute an automated driving general arhcitecture. The tracking algorithm is based on a fuzzy logic controller, dependent on the leading vehicle speed and the distance between the two vehicles. The results show the usefulness of combining the two test environments for the validation of the cooperative maneuver, reducing the cost and the time in comparison with the real test environment.

Keywords

Stop & Go, Fuzzy logic, Automated driving, Stop & Go, Cooperative maneuvers

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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