Results 321 to 330 of about 6,847,583 (383)

UAV Path Planning for Target Coverage Task in Dynamic Environment

IEEE Internet of Things Journal, 2023
Exploiting the possibility of an unmanned aerial vehicle (UAV) as a powerful tool for the Internet of Things applications, such as intelligent agricultural monitoring, intelligent transportation monitoring, etc., has gradually become a hot research topic
Jing Li, Yonghua Xiong, Jinhua She
semanticscholar   +1 more source

Path Planning Based on Improved RRT Algorithm

2023 2nd International Symposium on Control Engineering and Robotics (ISCER), 2023
The traditional path-exploring Random Trees (RRT) algorithm has the defects of low search efficiency and high path curvature. Based on the basic RRT algorithm, target bias strategy and pruning optimization algorithm are adopted to reduce unnecessary ...
Yanguo Huang, Chao Jin
semanticscholar   +1 more source

A Novel Hybrid Particle Swarm Optimization Algorithm for Path Planning of UAVs

IEEE Internet of Things Journal, 2022
Automatic path planning problem is essential for efficient mission execution by unmanned aerial vehicles (UAVs), which needs to access the optimal path rapidly in the complicated field. To address this problem, a novel hybrid particle swarm optimization (
Zhenhua Yu, Zhijie Si, Xiaobo Li, Dan Wang, H. Song   +4 more
semanticscholar   +1 more source

An Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs

IEEE transactions on intelligent transportation systems (Print), 2022
Due to the high maneuverability and strong adaptability, autonomous unmanned aerial vehicles (UAVs) are of high interest to many civilian and military organizations around the world.
Jinchao Chen, Ying Zhang, Lianwei Wu, Tao You, Xin Ning   +4 more
semanticscholar   +1 more source

A Generalized Voronoi Diagram-Based Efficient Heuristic Path Planning Method for RRTs in Mobile Robots

IEEE transactions on industrial electronics (1982. Print), 2022
The rapidly exploring random tree and its variants (RRTs) have been widely adopted as the motion planning algorithms for mobile robots. However, the trap space problem, such as mazes and S-shaped corridors, hinders their planning efficiency.
Wenzheng Chi, Zhiyu Ding, Jiankun Wang, Guodong Chen, Lining Sun   +4 more
semanticscholar   +1 more source

An Accurate UAV 3-D Path Planning Method for Disaster Emergency Response Based on an Improved Multiobjective Swarm Intelligence Algorithm

IEEE Transactions on Cybernetics, 2022
Planning a practical three-dimensional (3-D) flight path for unmanned aerial vehicles (UAVs) is a key challenge for the follow-up management and decision making in disaster emergency response. The ideal flight path is expected to balance the total flight
Yuting Wan, Yanfei Zhong, A. Ma, L. Zhang   +3 more
semanticscholar   +1 more source

Risk Assessment and Mitigation in Local Path Planning for Autonomous Vehicles With LSTM Based Predictive Model

IEEE Transactions on Automation Science and Engineering, 2022
Accurate trajectory prediction of surrounding vehicles enables lower risk path planning in advance for autonomous vehicles, thus promising the safety of automated driving.
Hong Wang, Bing Lu, Jun Li, Teng Liu, Yang Xing, Chen Lv, Dongpu Cao, Jingxuan Li, Jinwei Zhang, E. Hashemi   +9 more
semanticscholar   +1 more source

A Clustering-Based Coverage Path Planning Method for Autonomous Heterogeneous UAVs

IEEE transactions on intelligent transportation systems (Print), 2021
Unmanned aerial vehicles (UAVs) have been widely applied in civilian and military applications due to their high autonomy and strong adaptability. Although UAVs can achieve effective cost reduction and flexibility enhancement in the development of large ...
Jinchao Chen, Chenglie Du, Ying Zhang, Pengcheng Han, Wei Wei   +4 more
semanticscholar   +1 more source

Autonomous Pilot of Unmanned Surface Vehicles: Bridging Path Planning and Tracking

IEEE Transactions on Vehicular Technology, 2022
Autonomous pilot is crucial in integrally promoting the autonomy of an unmanned surface vehicle (USV). However, the integration mechanism of decision and control is still unclear within the entire autonomy.
Ning Wang, Yuhang Zhang, C. Ahn, Qingyang Xu   +3 more
semanticscholar   +1 more source

Path Planning of Autonomous Mobile Robot in Comprehensive Unknown Environment Using Deep Reinforcement Learning

IEEE Internet of Things Journal
In real-world situations, some unavoidable problems like significant dependence on environment information, long inference time and weak anti-disturbance ability are often involved in path planning of autonomous mobile robot (AMR) under unknown ...
Zekun Bai, Hui Pang, Zhaonian He, Bin Zhao, Tong Wang   +4 more
semanticscholar   +1 more source