scholarly journals Cooperative Routing Problem for Ground Vehicle and Unmanned Aerial Vehicle: The Application on Intelligence, Surveillance, and Reconnaissance Missions

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 63504-63518 ◽  
Author(s):  
Yao Liu ◽  
Zhihao Luo ◽  
Zhong Liu ◽  
Jianmai Shi ◽  
Guangquan Cheng
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Routing Problem ◽  
Ground Vehicle ◽  
Cooperative Routing ◽  
Aerial Vehicle

scholarly journals Cooperated Routing Problem for Ground Vehicle and Unmanned Aerial Vehicle: The Application on Intelligence, Surveillance and Reconnaissance Missions

2019 ◽  
Author(s):  
Yao Liu ◽  
Zhihao Luo ◽  
Zhong Liu ◽  
Jianmai Shi ◽  
Guangquan Cheng
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Base Station ◽  
Mixed Integer ◽  
Routing Problem ◽  
Ground Vehicle ◽  
Mip Model ◽  
Aerial Vehicle ◽  
Set Up ◽  
Operational Constraints ◽  
Mobile Base

In this paper, we present a novel Two-Echelon Ground Vehicle and Its Mounted Unmanned Aerial Vehicle Cooperated Routing Problem (2E-GUCRP). The 2E-GUCRP arises in the field of Unmanned Aerial Vehicle (UAV) Routing Problem such as those encountered in the context of city logistics. In a typical cooperated system, the UAV is launched from the Ground Vehicle (GV) and automatically flies to the designated target. Meanwhile, acting as a mobile base station, the GV can charge or change the UAV’s battery on the designated landing points to enable the UAV to continue its mission. The objective is to design efficient GV and UAV routes to minimize the total mission time while meeting the operational constraints. A Mixed Integer Programming (MIP) model, which could be solved by commercial software, is constructed to describe this problem. In order to quickly solve the medium-scale problems, two existing heuristics to solve 2E-VRP are improved. The computational experiments are set up to compare our model with the 2E-VRP. The results indicate that the 2E-GUCRP obtains a better efficiency. Further discussion of the practical instance points out that the increase in efficiency is related to the speed relationship between the GV and the UAV.

scholarly journals Editorial for the Special Issue “Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery”

2020 ◽  
Vol 12 (6) ◽  
pp. 940 ◽  
Author(s):  
Xiuliang Jin ◽  
Zhenhai Li ◽  
Clement Atzberger
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Crop Production ◽  
Unmanned Ground Vehicle ◽  
Special Issue ◽  
Climate Conditions ◽  
Ground Vehicle ◽  
Global Food Security ◽  
3D Data ◽  
Potential Applications ◽  
Aerial Vehicle

High-throughput crop phenotyping is harnessing the potential of genomic resources for the genetic improvement of crop production under changing climate conditions. As global food security is not yet assured, crop phenotyping has received increased attention during the past decade. This spectral issue (SI) collects 30 papers reporting research on estimation of crop phenotyping traits using unmanned ground vehicle (UGV) and unmanned aerial vehicle (UAV) imagery. Such platforms were previously not widely available. The special issue includes papers presenting recent advances in the field, with 22 UAV-based papers and 12 UGV-based articles. The special issue covers 16 RGB sensor papers, 11 papers on multi-spectral imagery, and further 4 papers on hyperspectral and 3D data acquisition systems. A total of 13 plants’ phenotyping traits, including morphological, structural, and biochemical traits are covered. Twenty different data processing and machine learning methods are presented. In this way, the special issue provides a good overview regarding potential applications of the platforms and sensors, to timely provide crop phenotyping traits in a cost-efficient and objective manner. With the fast development of sensors technology and image processing algorithms, we expect that the estimation of crop phenotyping traits supporting crop breeding scientists will gain even more attention in the future.

scholarly journals Robotic complex for inspection of the outer surface of the aircraft in its parking lot

2020 ◽  
Vol 12 (S) ◽  
pp. 21-31
Author(s):  
Boris S. ALESHIN ◽  
Alexander I. CHERNOMORSKY ◽  
Eduard D. KURIS ◽  
Konstantin S. LELKOV ◽  
Maxim V. IVAKIN
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Outer Surface ◽  
Unmanned Ground Vehicle ◽  
Metal Fatigue ◽  
Ground Vehicle ◽  
Extreme Wind ◽  
Parking Lot ◽  
Wind Exposure ◽  
Wind Actions ◽  
Aerial Vehicle

Through-flight inspection of the outer surface of the aircraft is necessary to identify possible damage to the surface of the aircraft caused by metal fatigue, lightning, birds collision, etc. The article discusses the method of robotic inspection of the outer surface of the aircraft in its open air parking area. The robotic complex (RC) consists of an unmanned ground vehicle (UGV) and an unmanned aerial vehicle (UAV) interconnected by a tether mechanism (TM). The algorithm of the RC functioning is presented. The main attention is paid to the formation of the TM control and the features of its work, ensuring the prevention of collisions of UAV with aircraft during extreme wind actions on UAV. The study of the most critical mode of the complex operation under extreme wind actions on an unmanned aerial vehicle is carried out. The results of modeling the typical process of the RC operation in an abnormal conditions of extreme wind exposure to UAV are presented.

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