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Perception and Control Strategies for Autonomous Docking for Electric Freight Vehicles
Author(s) -
Leopoldo Gonzalez Clarembaux,
Joshué Pérez,
David González,
Fawzi Nashashibi
Publication year - 2016
Publication title -
transportation research procedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.657
H-Index - 40
eISSN - 2352-1465
pISSN - 2352-1457
DOI - 10.1016/j.trpro.2016.05.116
Subject(s) - transport engineering , architecture , process (computing) , engineering , perception , work (physics) , traffic management , control (management) , computer science , artificial intelligence , mechanical engineering , art , neuroscience , visual arts , biology , operating system
International audienceThe freight transportation is defined as the process of carrying goods and persons from one given point to another. Recently, urban freight transportations have been used as an alternative for the delivery problems of goods in urban environments. The present work is developed in the framework of the Furbot project (FP7), which presents a solution for future urban freight transports with new light-duty architecture, based on full-electrical vehicles. This paper is focused on the onboard intelligent units, dedicated to improve the perception and control systems for the parking/docking process. The results presented in this work will show the good behavior of our approach, which will be implemented in the FURBOT vehicle (www.furbot.com)

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