Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs)

2020 ◽  
Vol 157 ◽  
pp. 434-443 ◽  
Author(s):  
Navid Ali Khan ◽  
N.Z. Jhanjhi ◽  
Sarfraz Nawaz Brohi ◽  
Raja Sher Afgun Usmani ◽  
Anand Nayyar
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Monitoring System ◽  
Traffic Monitoring ◽  
Aerial Vehicles ◽  
Smart Traffic

Forest Firefighting Monitoring System Based on UAV Team and Remote Sensing

2019 ◽  
pp. 220-241
Author(s):  
Maryna Zharikova ◽  
Vladimir Sherstjuk
Keyword(s):  
Remote Sensing ◽  
Data Integration ◽  
Unmanned Aerial Vehicles ◽  
Monitoring System ◽  
Fire Response ◽  
Ground Support ◽  
Aerial Vehicles ◽  
Remote Sensing Techniques ◽  
Fire Spreading ◽  
Multi Uav

In this chapter, the authors propose an approach to using a heterogeneous team of unmanned aerial vehicles and remote sensing techniques to perform tactical forest firefighting operations. The authors present the three-level architecture of the multi-UAV-based forest firefighting monitoring system; features of patrolling, confirming, and monitoring missions; as well as functions of UAV in such missions. The authors consider an infrastructure for the UAV ground support and equipment used for the UAVs control. The method of the data integration into a fire-spreading model in a real-time DSS for the forest fire response is proposed. The proposed approach has been tested with the multi-UAV team that included three drones for the patrol missions, one helicopter for the confirmation mission, and one octocopter for the monitoring mission. The performance of such multi-UAV team has been studied in the laboratory conditions. The result of the experiment has shown that the proposed approach provides required credibility and efficiency of fire prediction and response.

scholarly journals Smart Traffic Monitoring System Using Computer Vision and Edge Computing

2021 ◽  
pp. 1-12
Author(s):  
Guanxiong Liu ◽  
Hang Shi ◽  
Abbas Kiani ◽  
Abdallah Khreishah ◽  
Joyoung Lee ◽  
...  
Keyword(s):  
Computer Vision ◽  
Monitoring System ◽  
Traffic Monitoring ◽  
Edge Computing ◽  
Smart Traffic

scholarly journals Geoinformation monitoring of green stands using remote sensing methods

2020 ◽  
Vol 11 (2) ◽  
pp. 4-14
Author(s):  
D. I. Bidolah
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Monitoring System ◽  
Urban Landscape ◽  
Urban Landscapes ◽  
Automated Monitoring ◽  
Aerial Vehicles ◽  
Monitoring Process ◽  
Green Areas ◽  
Remote Sensing Methods

A green plantations monitoring is an important work, which includes regular monitoring of urban landscapes in order to identify negative timely changes and to prepare the informed decisions to prevent their degradation. In modern conditions, it is advisable to improve this process by using remote sensing methods, the materials of which are processed in geographic information systems, which allows to establish an automated monitoring system of green areas. The purpose of the study is to substantiate the feasibility of geo-information monitoring of urban landscapes using remote sensing methods, including unmanned aerial vehicles. To achieve this goal, structural schemes of the monitoring system organization to get the information about green plantation conditions are proposed, together with the possibilities of using orthophotoplans, which are obtained by remote sensing methods for the needs of regular study of urban landscapes. Repeated remote monitoring of the green plantations condition allows to detect the timely changes that have occurred with tree and shrub vegetation over a period in an automated mode. The use of remote sensing materials in this case can be used as a documentary basis to justify the implementation of measures for landscaping. Due to the expensive cost of high-resolution materials, we recommend to use in the process of urban landscape monitoring proposed approach with regular surveys of unmanned aerial vehicles for greenery facilities. On the basis of the conducted researches the multifunctional structure of the green plantings monitoring system is offered and carrying out of digital transformation of monitoring process of urban landscapes condition is recommended. These studies indicate the feasibility of introducing regular automated monitoring of green areas with the involvement of remote sensing methods, including using unmanned aerial vehicles.

scholarly journals Review of Some Applications of Unmanned Aerial Vehicles Technology in the Resource-Rich Country

2021 ◽  
Vol 11 (21) ◽  
pp. 10171
Author(s):  
Ravil Mukhamediev ◽  
Adilkhan Symagulov ◽  
Yan Kuchin ◽  
Elena Zaitseva ◽  
Alma Bekbotayeva ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Precision Agriculture ◽  
New Technologies ◽  
Economic Effect ◽  
Traffic Monitoring ◽  
Pollution Monitoring ◽  
High Tech ◽  
Engineering Structures ◽  
Aerial Vehicles ◽  
The Impact

The use of unmanned aerial vehicles (UAVs) in various spheres of human activity is a promising direction for countries with very different types of economies. This statement refers to resource-rich economies as well. The peculiarities of such countries are associated with the dependence on resource prices since their economies present low diversification. Therefore, the employment of new technologies is one of the ways of increasing the sustainability of such economy development. In this context, the use of UAVs is a prospect direction, since they are relatively cheap, reliable, and their use does not require a high-tech background. The most common use of UAVs is associated with various types of monitoring tasks. In addition, UAVs can be used for organizing communication, search, cargo delivery, field processing, etc. Using additional elements of artificial intelligence (AI) together with UAVs helps to solve the problems in automatic or semi-automatic mode. Such UAV is named intelligent unmanned aerial vehicle technology (IUAVT), and its employment allows increasing the UAV-based technology efficiency. However, in order to adapt IUAVT in the sectors of economy, it is necessary to overcome a range of limitations. The research is devoted to the analysis of opportunities and obstacles to the adaptation of IUAVT in the economy. The possible economic effect is estimated for Kazakhstan as one of the resource-rich countries. The review consists of three main parts. The first part describes the IUAVT application areas and the tasks it can solve. The following areas of application are considered: precision agriculture, the hazardous geophysical processes monitoring, environmental pollution monitoring, exploration of minerals, wild animals monitoring, technical and engineering structures monitoring, and traffic monitoring. The economic potential is estimated by the areas of application of IUAVT in Kazakhstan. The second part contains the review of the technical, legal, and software-algorithmic limitations of IUAVT and modern approaches aimed at overcoming these limitations. The third part—discussion—comprises the consideration of the impact of these limitations and unsolved tasks of the IUAVT employment in the areas of activity under consideration, and assessment of the overall economic effect.

Sign in / Sign up

Export Citation Format

Share Document