A novel hybrid particle swarm optimization algorithm for path planning of UAVs
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 …
aerial vehicles (UAVs), which needs to access the optimal path rapidly in the complicated …
An adaptive clustering-based algorithm for automatic path planning of heterogeneous UAVs
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 …
vehicles (UAVs) are of high interest to many civilian and military organizations around the …
[HTML][HTML] A review of unmanned vehicle distribution optimization models and algorithms
J Zhao, H Hu, Y Han, Y Cai - Journal of traffic and transportation …, 2023 - Elsevier
With the development of globalization and artificial intelligence, as well as the outbreak of
COVID-19, unmanned vehicles have played an important role in cargo distribution. In order …
COVID-19, unmanned vehicles have played an important role in cargo distribution. In order …
Cooperative motion planning and control for aerial-ground autonomous systems: Methods and applications
This review article offers an in-depth analysis of cooperative motion planning and control in
aerial-ground autonomous systems, emphasizing their methods and applications. It explores …
aerial-ground autonomous systems, emphasizing their methods and applications. It explores …
Comprehensive ocean information-enabled AUV path planning via reinforcement learning
The path planning of the autonomous underwater vehicle (AUV) has shown great potential
in various Internet of Underwater Things (IoUT) applications. Although considerable efforts …
in various Internet of Underwater Things (IoUT) applications. Although considerable efforts …
UAV path optimization with an integrated cost assessment model considering third-party risks in metropolitan environments
Various applications of unmanned aerial vehicles (UAVs) in urban environments facilitate
our daily life and public services. However, UAV operations bring third party risk (TPR) …
our daily life and public services. However, UAV operations bring third party risk (TPR) …
Autonomous cooperative search model for multi-UAV with limited communication network
B Fei, W Bao, X Zhu, D Liu, T Men… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the rapid development of artificial intelligence technology, the multi-UAV cooperative
search has wide applications in the field of Internet of Things, such as resource exploration …
search has wide applications in the field of Internet of Things, such as resource exploration …
A novel hybrid Coyote–Particle Swarm Optimization Algorithm for three-dimensional constrained trajectory planning of Unmanned Aerial Vehicle
Abstract Unmanned Aerial Vehicles (UAVs) have been considered the future of
transportation systems. However, mostly the reported optimizers struggle to estimate the …
transportation systems. However, mostly the reported optimizers struggle to estimate the …
FC-RRT*: An improved path planning algorithm for UAV in 3D complex environment
Y Guo, X Liu, X Liu, Y Yang, W Zhang - ISPRS International Journal of …, 2022 - mdpi.com
In complex environments, path planning is the key for unmanned aerial vehicles (UAVs) to
perform military missions autonomously. This paper proposes a novel algorithm called flight …
perform military missions autonomously. This paper proposes a novel algorithm called flight …
Aerial surveillance in cities: When UAVs take public transportation vehicles
This paper considers using unmanned aerial vehicles (UAVs) to survey important sites
across a city. When the sites are relatively far from the UAVs' depot, the UAVs may not be …
across a city. When the sites are relatively far from the UAVs' depot, the UAVs may not be …