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https://doi.org/10.1007/115569...
Part of book or chapter of book . 2005 . Peer-reviewed
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Conference object . 2021
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Electric Power Steering Automation for Autonomous Driving

Authors: José Eugenio Naranjo; Carlos González 0001; Ricardo García Rosa; Teresa de Pedro;

Electric Power Steering Automation for Autonomous Driving

Abstract

Trabajo presentado en la 10th International Conference on Computer Aided Systems Theory (EUROCAST 2005), celebrada en Las Palmas de Gran Canaria (España), del 7 al 11 de febrero de 2005 The automatic control of a vehicle's steering wheel is now one of the most important challenges in the Intelligent Transportation Systems field. In this paper, we present a fuzzy logic-based automatic steering control system for mass-produced electric power steering (EPS) wheel-equipped vehicles that assures human-like behavior. In the literature, we find a lot of theoretical proposals and some simulations, but only a few work teams offer real solutions for this task. One such solution is the work developed by the Autopia Program in which some vehicles have been automated and can perform some maneuvers mimicking human reaclions. In this paper, we use the EPS of a Citroën C3 Pluriel to effect the car's behavior. The actuator is controlled from an onboard computer housing a fuzzy logic-based autonomous steering system. The vehicle's internal computers generate the input information, which is read by a CAN bus and a high precision GPS. Some experiments using this equipment on a private test circuit are presented, obtaining an human-like behavior in all the maneuvers. Peer reviewed

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Keywords

Angular Error, Global Navigation Satellite System, Intelligent Transportation System, Global navigation satellite systems, Intelligent transportation systems, Fuzzy Variable, Fuzzy Controller

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selected citations
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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