Algorithm of measurement information processing for hardware and software complex capture and automatic tracking of unmanned aerial vehicle

2017 ◽  
Author(s):  
A. V. Porfiriev ◽  
V. I. Sumin ◽  
A. V. Dushkin
Keyword(s):  
Information Processing ◽  
Unmanned Aerial Vehicle ◽  
Measurement Information ◽  
Automatic Tracking ◽  
Software Complex ◽  
Aerial Vehicle

Shipping Container Counting Approach Using Unmanned Aerial Vehicle (UAV) and ArcGIS

2019 ◽  
Vol 16 (2) ◽  
pp. 15
Author(s):  
Afiq Abdullah ◽  
Jasmee Jaafar ◽  
Khairul Nizam Tahar ◽  
Mohamad Hezri Razali
Keyword(s):  
Information Processing ◽  
Unmanned Aerial Vehicle ◽  
Digital Terrain Model ◽  
Aerial Images ◽  
Geographical Information ◽  
Surface Model ◽  
Standard Size ◽  
Shipping Container ◽  
Counting Approach ◽  
Aerial Vehicle

In Malaysia, the existing of counting approach on the shipping container at depot is carried out by manual based system. This has made the efficiency of the method to be questioned which can be solved through automation. Under previous studies, Unmanned Aerial Vehicle (UAV) is demonstrated for automatic counting of cars and trees. Therefore, the possibility for shipping container counting is highly required in which promotes low-cost alternative and automatedpilot for data collection. Based on this study, the aerial images captured using UAV is combined with geographical information processing software, ArcGIS, towards automated approach for container counting. The overlapping aerial images are post-processed using photogrammetric technique to produce Digital Surface Model (DSM) that represents the ground and above surface feature’s elevations. Then, the constructed DSM is filtered to develop Digital Terrain Model (DTM) where it represents the ground surface’s elevation only. Then, container’s candidates are isolated using subtraction of the DTM from DSM to generate normalized DSM (nDSM) which represents the heights of container’s stacks. From the standard size and height of one container from ISO, the number of containers is extracted. The ModelBuilder tool available in ArcGIS is customized for automated geographical information processing. From results, the proposed approach contributed to 100% of counting accuracy. Keywords: Unmanned Aerial Vehicle, Counting, Shipping Container, ArcGIS, ModelBuilder

scholarly journals Development of Mobile Ground Control System and GPS Base Auto Tracking Antenna

2018 ◽  
Vol 16 (1) ◽  
pp. 83 ◽  
Author(s):  
Herma Yudhi Irwanto
Keyword(s):  
Control System ◽  
Monitoring System ◽  
Unmanned Aerial Vehicle ◽  
High Speed ◽  
Flight Test ◽  
Simulation System ◽  
Ground Control ◽  
Hardware In The Loop ◽  
Automatic Tracking ◽  
Aerial Vehicle

Flight test of both rocket and high speed Unmanned Aerial Vehicle (UAV), which is currently developed by LAPAN, can not be separated from the need for a monitoring system of all the attitude of the vehicles. Utilizing and combining some of the available equipment components into a ground control system (GCS) equipped with GPS based auto tracking antenna, makes it easy in previous flight test activities that only do tracking antenna manually. This ground control system is equipped with automatic tracking antenna that always leads to the vehicle, so that the data attitude of flying the vehicle will be maximally monitored and analyzed directly with ease. This system has been tested on a laboratory scale related to testing using hardware in the loop simulation system

scholarly journals Event-triggered control of spatially distributed processes via unmanned aerial vehicle

2016 ◽  
Vol 13 (6) ◽  
pp. 172988141667513 ◽  
Author(s):  
Xuyang Lou ◽  
Zhengxian Jiang
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Control Method ◽  
Output Feedback Control ◽  
Distributed Parameter ◽  
Measurement Information ◽  
Sampled Data ◽  
Distributed Processes ◽  
Spatially Distributed ◽  
Aerial Vehicle ◽  
Event Triggered

This article concerns the problem of event-triggered observer-based output feedback control of spatially distributed processes under the autonomous operation of an unmanned aerial vehicle. The specific spatially distributed process is modeled within the distributed parameter systems framework. To control the considered distributed parameter system efficiently, we first estimate the states with an observer based on the measurement information from sensors. Then, an event-triggered observer-based controller is designed, which can reduce the frequency of signal transmissions between the observer and the controller. In contrast to normal sampled-data controller that is updated periodically, the event-triggered controller is updated only when an “event” happens. Moreover, the Zeno behavior is also excluded by proving there exists a lower bound for interexecution time. Numerical simulations are finally presented to illustrate the effectiveness of the proposed control method.

Sign in / Sign up

Export Citation Format

Share Document