Optimal design of low computational burden model predictive control based on SSDA towards autonomous vehicle under vision dynamics-Reference-Cited by-同舟云学术

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Optimal design of low computational burden model predictive control based on SSDA towards autonomous vehicle under vision dynamics

Published:2021-07-26 Issue:11 Volume:36 Page:6968-6987
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Elsisi M.¹²^ORCID,Ebrahim Mohamed A.²^ORCID

Affiliation:

1. Industry 4.0 Implementation Center, Center for Cyber‐Physical System Innovation National Taiwan University of Science and Technology Taipei Taiwan

2. Department of Electrical Engineering, Faculty of Engineering (Shoubra) Benha University Cairo Egypt

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22576

Reference42 articles.

1. Review and analysis of the importance of autonomous vehicles liability: a systematic literature review

2. A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

3. Self-localization and positioning vehicle navigation system based on computer vision and PID control

4. Longitudinal speed control of autonomous vehicle based on a self‐adaptive PID of radial basis function neural network

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