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2020 | OriginalPaper | Chapter

Automatic Driving Joint Simulation Technology and Platform Design

Authors : Ji Song, Rongjun Huang, Wei Zhang, Qinghe Liu

Published in: Proceedings of China SAE Congress 2018: Selected Papers

Publisher: Springer Singapore

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Abstract

In order to improve the production development of automatic driving technology ability, this paper puts forward a hybrid platform to establish virtual joint simulation technology. This platform includes sensor module, vehicle dynamics module, scenario module and control algorithm module in order to solve the automatic questions including roads of all weather conditions, sensor-type selection design, automatic control algorithm, driving performance testing and other difficulties which are complex to validate. Through the virtual joint simulation platform, autonomous driving performance can be improved in the simulation, and it is a reasonable method to realize automatic mass production.

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previous chapter Study on the Green Wave Optimal Speed Guidance System Based on V2X
next chapter Research on the Decision Control Methods and Ride Comfort of Autonomous Vehicle
Literature
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Liu J (2017) Research on automatic driving system for unmanned vehicles based on human simulated intelligent control and fractional PID control. Int J Comput Eng 4
2.
Xiu C, Chen H (2013) A study of local planning of unmanned vehicle based on improved artificial potential field method. Automot Eng 35(9):808–811
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Khoshnejad M, Demirli K (2005) Autonomous parallel parking of a car-like mobile robot by a neuro-fuzzy behavior-based controller. Nafips 2005 Meeting of the North American. IEEE, pp 2876–2891
4.
Zhang W (2014) Research on unmanned ground vehicle autonomous driving system based on human-like intelligent control. University of science and technology of China, AnHui Province
Metadata
Title
Automatic Driving Joint Simulation Technology and Platform Design
Authors
Ji Song
Rongjun Huang
Wei Zhang
Qinghe Liu
Copyright Year
2020
Publisher
Springer Singapore
Book
Proceedings of China SAE Congress 2018: Selected Papers

Print ISBN: 978-981-13-9717-2

Electronic ISBN: 978-981-13-9718-9

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-13-9718-9_29

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