Learning-based MPC for Autonomous Motion Planning at Freeway Off-ramp Diverging

X Qi, L Zhang, P Wang, J Yang, T Zou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Off-ramp diverging road segment is the preparation area for vehicles driving away from the
freeway, while it causes more traffic conflicts making it a typical safety bottleneck. Focusing …

Clothoid Curve-based Emergency-Stopping Path Planning with Adaptive Potential Field for Autonomous Vehicles

P Lin, E Javanmardi, M Tsukada - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

A novel reinforcement learning method for the plan of generator start-up after blackout

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 …

A methodology of cooperative driving based on microscopic traffic prediction

BS Kerner, SL Klenov, V Wiering… - Physica A: Statistical …, 2024 - Elsevier
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 …

Efficient and Near-Optimal Global Path Planning for AGVs: A DNN-Based Double Closed-Loop Approach With Guarantee Mechanism

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 …

Motion Control of Autonomous Vehicle with Domain-Centralized Electronic and Electrical Architecture based on Predictive Reinforcement Learning Control Method

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 …

Integrated Planning and Control: A Crucial Path Nodes-Based Piecewise Model Predictive Control Strategy

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 …

Motion Planning for Autonomous Ground Vehicles Using Artificial Potential Fields: A Review

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 …

Intelligent Vehicle Lateral Control Strategy Research based on Feedforward+ Predictive LQR Algorithm with GA optimisation and PID compensation

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 …