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2020 | OriginalPaper | Buchkapitel

Automatic Driving Joint Simulation Technology and Platform Design

verfasst von : Ji Song, Rongjun Huang, Wei Zhang, Qinghe Liu

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

Verlag: 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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Literatur
1.
Zurück zum Zitat 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 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.
Zurück zum Zitat 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 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
3.
Zurück zum Zitat 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 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.
Zurück zum Zitat 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 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
Metadaten
Titel
Automatic Driving Joint Simulation Technology and Platform Design
verfasst von
Ji Song
Rongjun Huang
Wei Zhang
Qinghe Liu
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-9718-9_29

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