Model-Based Control Strategy for Autonomous Vehicle Path Tracking Task
Author:
Affiliation:
1. Institute of Automation and Info-communication , Faculty of Mechanical engineering and Informatics , University of Miskolc , Miskolc
Abstract
Publisher
Walter de Gruyter GmbH
Link
https://www.sciendo.com/pdf/10.2478/auseme-2020-0003
Reference17 articles.
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2. [2] Department for Transport, “Research on the Impacts of Connected and Autonomous Vehicles (CAVs) on Traffic Flow: Summary Report”, Atkins Ltd, 2017.
3. [3] Pendleton, S. D. et al., “Perception, planning, control, and coordination for autonomous vehicles”, Machines, vol. 5, no. 1, pp. 1-54, 2017.10.3390/machines5010006
4. [4] Park, M., Lee, S., and Han, W., “Development of Steering Control System for Autonomous Vehicle Using Geometry-Based Path Tracking Algorithm”, ETRI Journal, DOI: 10.4218/etrij.15.0114.0123, vol. 37, no. 3, pp. 617–625, 2015.10.4218/etrij.15.0114.0123
5. [5] Bacha, S., Ayad, M. Y., Saadi, R., Aboubou, A., Bahri, M., and Becherif, M., “Modeling and control technics for autonomous electric and hybrid vehicles path following”, 5th International Conference on Electric Engineering-Boumerdes-Boumerdes (ICEE-B), 2017.10.1109/ICEE-B.2017.8191998
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