Potential Field-based path planning methods are widely embraced in the context of autonomous vehicles due to their real-time efficiency and simplicity. While the potential field …
Z Wu, C Li, L He - Electric Power Systems Research, 2024 - Elsevier
With the expansion of the power system and the impact of natural disasters, blackouts are almost inevitable. A scientific restoration plan can effectively shorten the economic and …
We present a methodology of cooperative driving in vehicular traffic, in which for short-time traffic prediction rather than one of the statistical approaches of artificial intelligence (AI), we …
R Zhang, R Chai, K Chen, J Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In this article, a novel global path planning approach with rapid convergence properties for autonomous ground vehicles (AGVs) named neural sampling rapidly exploring random tree …
G Du, Y Zou, X Zhang, K Zhao - 2024 IEEE Intelligent Vehicles …, 2024 - ieeexplore.ieee.org
High-level autonomous vehicles and domain-based electronic and electrical (E/E) architectures are important development directions of the intelligent automobile industry …
Y Deng, Z Zuo, H Wang, Y Wang - IEEE Control Systems …, 2024 - ieeexplore.ieee.org
In this letter, an integrated planning and control strategy based on piecewise model predictive control (MPC) is developed to improve the efficiency of planning-control …
A Tanveer, MT Ashraf, U Khan - arXiv preprint arXiv:2310.14339, 2023 - arxiv.org
Autonomous ground vehicle systems have found extensive potential and practical applications in the modern world. The development of an autonomous ground vehicle poses …
Z Zheng, Z Ye, X Zheng - 2024 - researchsquare.com
Targeting the lateral motion control problem in the intelligent vehicle autopilot structural system, this paper proposes a feedforward+ predictive LQR algorithm for lateral motion …