Aerospace Science and Technology
Ali Mirzaee kahagh; Alireza Sekhavat Benis
Abstract
The current research was conducted with the aim of identifying the role of unmanned aerial vehicles in future smart cities. The current research was conducted in terms of mixed statistical methods (qualitative-quantitative). The participants of the qualitative part, which was implemented based on the ...
Read More
The current research was conducted with the aim of identifying the role of unmanned aerial vehicles in future smart cities. The current research was conducted in terms of mixed statistical methods (qualitative-quantitative). The participants of the qualitative part, which was implemented based on the method of thematic analysis, were 14 knowledgeable experts, including specialized and experienced managers in the fields of urban security, transportation, road, and urban development, aviation organization and aviation industry, and The Information and Communication Technology Organization of Greater Tehran cities until reaching theoretical saturation and in the quantitative part, all the expert experts of the relevant devices were 134 people, and using Cochran's formula and targeted sampling method, the number of 99 people was were selected as sample members. The reliability coefficient of the qualitative part was recorded by the method of two coders with the final result (83%) and the reliability of the quantitative part was recorded with Cronbach's alpha coefficient with the final result (0.91). MAXQDA software was used for qualitative data analysis and SPSS software was used for quantitative data analysis. The findings showed that in the process of explaining the role of unmanned aerial vehicles in future smart cities; There are 5 comprehensive themes, 16 organizing themes, and 58 basic themes. The results showed that unmanned aerial vehicles can play a significant role in creating future smart cities through 1- intelligent air transportation, 2- agile monitoring and inspection, 3- smart agriculture, 4- smart urban and citizen services, and 5- smart law enforcement.
Aerospace Science and Technology
Mohammad Hossein Bayat; Mohammad Shahbazi; Bahram Tarvirdizadeh
Abstract
The use of Unmanned Aerial Vehicles (UAVs) with different features and for a variety of applications has grown significantly. Tracking generic targets, especially human, using the UAV's camera is one of the most active and demanding fields in this area. In this paper we implement two vision-based tracking ...
Read More
The use of Unmanned Aerial Vehicles (UAVs) with different features and for a variety of applications has grown significantly. Tracking generic targets, especially human, using the UAV's camera is one of the most active and demanding fields in this area. In this paper we implement two vision-based tracking algorithms to track a human by using a 2D gimbal which can be mounted on UAVs. To ensure smooth movements and reduce the effect of common jumps on the trackers output, the gimbal motion control system is equipped with a Kalman filter followed by a proportional-derivative (PD) controller. Various experimental tests have been designed and implemented to track a human. The evaluation results show success in tracking the high speed movements with one of the algorithms and high accuracy in tracking the challenging movements in the other algorithm. Also in both methods, the tracking computation time is short enough and suitable for real-time implementation. The favorable performance of both algorithms indicate the ability of designed system to be implemented on the UAVs for practical applications.
