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Authors: Kaixin Yang ; Yunlong Bai ; Jianguo You ; Haibo Dong and Jinwei Guo

Affiliation: Automotive Data Center, China Automotive Technology & Research Center Co. Ltd, Tianjin 300000, China, China

Keyword(s): Unmanned driving; Path tracking; Visual navigation.

Abstract: With the in-depth study of unmanned vehicle technology, highly efficient, stable and low-cost trajectory tracking control system has become the key technology for intelligent and practical unmanned vehicles. The technical level of automobiles and their popularity are important indicators to measure the material living standard and modernization level of a country or region. Path tracking and motion control play a very important role in intelligent unmanned driving technology. At the same time, accurate tracking of the expected feasible path and stable motion control are the basis for realizing intelligent unmanned driving. The task of path tracking is to control the vehicle to drive along the planned path, and at the same time to ensure the safety and handling stability of the vehicle. The precise control of driverless vehicle is obviously the key technology in the research and development of automatic driving. Therefore, based on the vision navigation system, this paper studies the target path tracking control of driverless vehicle. (More)

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Paper citation in several formats:
Yang, K.; Bai, Y.; You, J.; Dong, H. and Guo, J. (2020). Research on Path Tracking Control of Unmanned Vehicles based on Vision. In Proceedings of the International Symposium on Frontiers of Intelligent Transport System - FITS; ISBN 978-989-758-465-7, SciTePress, pages 64-69. DOI: 10.5220/0010061500640069

@conference{fits20,
author={Kaixin Yang. and Yunlong Bai. and Jianguo You. and Haibo Dong. and Jinwei Guo.},
title={Research on Path Tracking Control of Unmanned Vehicles based on Vision},
booktitle={Proceedings of the International Symposium on Frontiers of Intelligent Transport System - FITS},
year={2020},
pages={64-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010061500640069},
isbn={978-989-758-465-7},
}

TY - CONF

JO - Proceedings of the International Symposium on Frontiers of Intelligent Transport System - FITS
TI - Research on Path Tracking Control of Unmanned Vehicles based on Vision
SN - 978-989-758-465-7
AU - Yang, K.
AU - Bai, Y.
AU - You, J.
AU - Dong, H.
AU - Guo, J.
PY - 2020
SP - 64
EP - 69
DO - 10.5220/0010061500640069
PB - SciTePress

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