Journal ArticleDOI
Lateral control of autonomous vehicles based on learning driver behavior via cloud model
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TLDR
Experimental analysis shows that driver's lateral controller based on cloud model is able to achieve tracking of the desired angle, and achieve good control effect, and verifies that a series of mental activities such as feeling, cognition, calculation, decision and so on are fuzzy and uncertain.About:
This article is published in The Journal of China Universities of Posts and Telecommunications.The article was published on 2017-04-01. It has received 14 citations till now. The article focuses on the topics: Cloud computing & CarSim.read more
Citations
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Journal ArticleDOI
Hardware and software architecture of intelligent vehicles and road verification in typical traffic scenarios
TL;DR: The real road test shows that the designed hardware and software systems for intelligent vehicles have desirable robustness, which can realise accurate and reliable environment perception, decision-making and motion control.
Journal ArticleDOI
Autonomous road vehicles: recent issues and expectations
TL;DR: In this article, the authors present the current state of the art and prospects of automated vehicles (AVs) from various perspectives, focusing on revision of critical technologies, estimation of the impact on social aspects, identification of legal issues, consideration of factors in commercial success through user acceptance, and foresight carried out by other researchers.
Proceedings ArticleDOI
A survey of Automotive Driving Assistance Systems technologies
Asmaa Swief,Mohamed El-Habrouk +1 more
TL;DR: This survey provides information about the environment perception modeling and the local map to build the localization and map building module by processing the original data like the sensors ‘information of vision, LIght Detection And Ranging (LIDAR), RAdio Detection and Rranging (RADAR), etc.
Journal ArticleDOI
Research on Rock Mass Quality Classification Based on An Improved Rough Set–Cloud Model
Jiachuang Wang,Jiang Guo +1 more
TL;DR: A rockmass quality evaluation method based on the coupled improved rough set–cloud model is established and successfully applied for a rock mass quality evaluation of the 0+000~0+560 test section of the second stage of underground engineering at the Guangdong Pump Storage Power Station.
Journal ArticleDOI
Rock Burst Evaluation Using the CRITIC Algorithm-based Cloud Model
TL;DR: In this paper, a finite-interval cloud model based on the CRITIC algorithm is proposed to address the uncertainty of rock burst evaluation, the complexity under multi-factor interactions, and the correlations between factors.
References
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Book
Artificial Intelligence with Uncertainty
TL;DR: This book develops a framework that shows how uncertainty in AI expands and generalizes traditional AI, and describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them.
Journal ArticleDOI
PID control system analysis and design
Yun Li,Kiam Heong Ang,G. Chong +2 more
TL;DR: A computerized simulation-based approach is presented, together with illustrative design results for first-order, higher order, and nonlinear plants, and differences between academic research and industrial practice are discussed to motivate new research directions in PID control.
Journal IssueDOI
A new cognitive model: Cloud model
Deyi Li,Changyu Liu,Wenyan Gan +2 more
TL;DR: This paper proposes a new cognitive model—cloud model, which can synthetically describe the randomness and fuzziness of concepts and implement the uncertain transformation between a qualitative concept and its quantitative instantiations and may be more adaptive for the uncertainty description of linguistic concepts.
Journal Article
Artificial Intelligence with Uncertainty
TL;DR: The relationship between randomness and fuzziness is discussed and a simple and effective way is proposed to simulate the uncertainty by means of knowledge representation which provides a basis for the automation of both logic and image thinking with uncertainty.
Journal ArticleDOI
Generic normal cloud model
TL;DR: A 2 nd -order generic normal cloud model, which establishes a relationship between normal cloud and normal distribution, is proposed, and an ideal backward cloud transformation algorithm is designed based on the mutually inverse features of FCT and BCT.
Related Papers (5)
Cloud Model Approach for Lateral Control of Intelligent Vehicle Systems
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