Efficient and optimal penetration path planning for stealth unmanned aerial vehicle using minimal radar cross-section tactics and modified A-Star algorithm
Z Zhang, J Jiang, J Wu, X Zhu - ISA transactions, 2023 - Elsevier
Penetration path planning for stealth unmanned aerial vehicles (SUAVs) in the integrated air
defense system (IADS) has been a hot research topic in recent years. The present study …
defense system (IADS) has been a hot research topic in recent years. The present study …
Online trajectory replanning for sudden environmental changes during automated parking: A parallel stitching method
Trajectory planning for automated parking has been widely known as more challenging than
that for on-road driving due to the nonconvex kinematics, high-dimensional collision …
that for on-road driving due to the nonconvex kinematics, high-dimensional collision …
Predictive trajectory planning for autonomous vehicles at intersections using reinforcement learning
In this work we put forward a predictive trajectory planning framework to help autonomous
vehicles plan future trajectories. We develop a partially observable Markov decision process …
vehicles plan future trajectories. We develop a partially observable Markov decision process …
Real-time trajectory planning for autonomous driving with gaussian process and incremental refinement
Real-time kinodynamic trajectory planning in dy-namic environments is critical yet
challenging for autonomous driving. In this paper, we propose an efficient trajectory plan …
challenging for autonomous driving. In this paper, we propose an efficient trajectory plan …
Stochastic cognitive dominance leading particle swarm optimization for multimodal problems
Optimization problems become increasingly complicated in the era of big data and Internet
of Things, which significantly challenges the effectiveness and efficiency of existing …
of Things, which significantly challenges the effectiveness and efficiency of existing …
An efficient spatial-temporal trajectory planner for autonomous vehicles in unstructured environments
As a fundamental component of autonomous driving systems, motion planning has garnered
significant attention from both academia and industry. This paper focuses on efficient and …
significant attention from both academia and industry. This paper focuses on efficient and …
E3MoP: Efficient Motion Planning Based on Heuristic-Guided Motion Primitives Pruning and Path Optimization With Sparse-Banded Structure
To solve the autonomous navigation problem in complex environments, an efficient motion
planning approach is newly presented in this paper. Considering the challenges from large …
planning approach is newly presented in this paper. Considering the challenges from large …
Autonomous parking trajectory planning with tiny passages: A combination of multistage hybrid A-star algorithm and numerical optimal control
This paper introduces an autonomous parking trajectory planning method in an unstructured
environment with narrow passages. The proposed hierarchical trajectory planner consists of …
environment with narrow passages. The proposed hierarchical trajectory planner consists of …
Trajectory planning for autonomous valet parking in narrow environments with enhanced hybrid a* search and nonlinear optimization
J Lian, W Ren, D Yang, L Li, F Yu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article focuses on the problem of autonomous valet parking trajectory planning in
complex environments. The task normally can be well described by an optimal control …
complex environments. The task normally can be well described by an optimal control …
Efficient safety-enhanced velocity planning for autonomous driving with chance constraints
Velocity planning is an important module of autonomous driving, which aims to generate the
velocity profile given a reference path. However, most existing algorithms fail to adequately …
velocity profile given a reference path. However, most existing algorithms fail to adequately …