In this paper, the problem of online path planning for autonomous inspection of distribution network lines by UAV is studied. Because the distribution lines are mostly distributed around cities, counties and mountainous areas, the lines and their surrounding environment are uncertain and dynamic. These factors will affect the safety of UAV inspection, making the off-line pre-planned path for UAV unavailable. This paper designs an improved iteration random tree algorithm (IRRT) algorithm, which can quickly plan the path of UAV in dynamic environment
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Natural disasters pose a tremendous risk to the reliability of distribution networks. In this paper,...
In order to improve the precision and accuracy of artificial potential field, and avoid the situatio...
Unmanned aerial vehicles (UAV) are a suitable solution for monitoring growing cultures due to the po...
Abstract The real-time path planning of unmanned aerial vehicles (UAVs) in dynamic environments with...
© The Author(s) 2021.In this article, an online path planning algorithm for multiple unmanned aerial...
As the scale of the power grid continues to expand, the human-based inspection method struggles to m...
Flying safely in complex urban environments is a challenge for unmanned aerial vehicles because path...
This paper presents path planning algorithms using Rapidly-exploring Random Trees (RRTs) to generate...
This study is about developing an online (real-time) path planning algorithm for multiple Unmanned A...
The ability of an autonomous Unmanned Aerial Vehicle (UAV) in an unknown environment is a prerequisi...
Traditional terminal logistics distribution in urban areas is mainly concentrated on the ground, whi...
This thesis presents an online path planning algorithm developed for unmanned vehicles in charge of ...
This thesis presents an online path planning algorithm developed for unmanned vehicles in charge of ...
This paper presents path planning algorithms using Rapidly-exploring Random Trees (RRTs) to generate...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Natural disasters pose a tremendous risk to the reliability of distribution networks. In this paper,...
In order to improve the precision and accuracy of artificial potential field, and avoid the situatio...
Unmanned aerial vehicles (UAV) are a suitable solution for monitoring growing cultures due to the po...
Abstract The real-time path planning of unmanned aerial vehicles (UAVs) in dynamic environments with...
© The Author(s) 2021.In this article, an online path planning algorithm for multiple unmanned aerial...
As the scale of the power grid continues to expand, the human-based inspection method struggles to m...
Flying safely in complex urban environments is a challenge for unmanned aerial vehicles because path...
This paper presents path planning algorithms using Rapidly-exploring Random Trees (RRTs) to generate...
This study is about developing an online (real-time) path planning algorithm for multiple Unmanned A...
The ability of an autonomous Unmanned Aerial Vehicle (UAV) in an unknown environment is a prerequisi...
Traditional terminal logistics distribution in urban areas is mainly concentrated on the ground, whi...
This thesis presents an online path planning algorithm developed for unmanned vehicles in charge of ...
This thesis presents an online path planning algorithm developed for unmanned vehicles in charge of ...
This paper presents path planning algorithms using Rapidly-exploring Random Trees (RRTs) to generate...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Natural disasters pose a tremendous risk to the reliability of distribution networks. In this paper,...
In order to improve the precision and accuracy of artificial potential field, and avoid the situatio...