Analysis and design of fuzzy-based manoeuvring model for mid-vehicle collision avoidance system-Reference-Cited by-同舟云学术

Analysis and design of fuzzy-based manoeuvring model for mid-vehicle collision avoidance system

Published:2021-01-06 Issue:10 Volume:12 Page:9909-9922
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Narayanan Prabhakaran,Sengan Sudhakar,Pudhupalayam Marimuthu Balasubramaniam^ORCID,Paulra Ranjith Kumar,Bhargava Cherry,Sharma Pardeep Kumar,Kumar Kailash,Dadheech Pankaj

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02737-x.pdf

Reference51 articles.

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2. Balasubramaniam PM, Sudhakar S, Sujatha K, Sriram VP, Dhanaraj S, Subramaniyaswamy V (2020) Investigations and strategy of intelligent controller (ACBIC) for DC-link control in SAPF system for Industrial power systems a control strategy. J Discrete Math Sci Cryptogr Taylor Francis. https://doi.org/10.1080/09720529.2019.1668145

3. Balasubramaniam PM, Sudhakar S, Sujatha K, Sriram VP, Dhanaraj S, Subramaniyaswamy V, Rajesh T (2020) An efficient control strategy of shunt active power filter for asymmetrical load condition using time-domain approach. J Discrete Math Sci Cryptogr Taylor Francis. https://doi.org/10.1080/09720529.2019.1668136

4. Biruntha S, Balaji S, Dhyakesh S, Karthik Srini BR, Boopala J, Sudhakar S (2020) Digital approach for siddha pulse diagnosis. Int J Sci Technol Res 9(2):2140–2143

5. Ching-Fu L, Jyh-Ching J, Kun-Rui L (2014) Active collision avoidance system for steering control of autonomous vehicles. IET Intell Transp Syst 8(6):550–557

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