Sistem Ground Control Station Berbasis Mobile Untuk Pengamatan Dan Pengendalian Uav

Handayani, Ariesta Martiningtyas; Rifai, Isnan Nur

doi:10.22146/jntt.39204

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…This average distance is then compared to the actual distance to the object to obtain the calibration factor. The percentage of average error value 〈𝐸〉 is determined as the absolute difference between the measured distance 𝐷 𝑚 and the actual distance 𝐷 𝑎 , divided by the maximum measured distance 𝐷 𝑚𝑎𝑥 , as expressed by following equation [14],…”

Section: Static Measurementmentioning

confidence: 99%

Microlidar Application for Object Detector to Support The Navigation System in Self-Driving Vehicle

Rifai,

Ratnoto,

Subari

2024

INFORMAL

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The ability to detect and measure the distance of potential obstacles is importance for navigation system in self-driving vehicles. The measurement process needs to be fast and accurate since the controller requires real-time data to make quick decisions and respond to any potential disturbances on the vehicle's track. This research aims to develop Microlidar for detection system that can accurately measure the distance of a potential obstacle object. The Microlidar utilize Lidar Lite V3 proximity sensor which have range measurement specification of up to 40 meter. Microlidar rapidly rotate 360 degrees by using a stepper motor while in the same time continuously measure the real-time distance. The measurement data are sent to a microcontroller through I2C, and the Processing software plot the 2D image which work like radar visualization. The system is assessed for ranging the various distance object in static and dynamic measurement mode. The results show that the Microlidar has a good level of accuracy with an average error value at the distance of 300 cm is 4.99 cm or 1.7% while the average error value at the distance of 1000 cm is 15.69 cm or 1.6% obtained from 100 data sets collected. The communication from the sensor to Arduino requires a minimum baud rate of 115200 bits/second to minimize data loss and ensure that the measured distance can be processed in real time by the microcontroller. Real-time data with high speed is essential since it will be used on the vehicle in order to quickly decide whether there is a barrier or not on the vehicle’s track. The sensor analysis distance expected from this research could be used as a reference to support the navigation system performance of self-driving vehicles.

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Section: Static Measurementmentioning

confidence: 99%

Microlidar Application for Object Detector to Support The Navigation System in Self-Driving Vehicle

Rifai,

Ratnoto,

Subari

2024

INFORMAL

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“…Untuk mengirimkan data dari pesawat tak berawak ke GCS maka diperlukan suatu jaringan nirkabel yang baik dalam kualitasnya. Dalam membangun sebuah jaringan tersebut diperlukan pemilihan perangkat yang tepat karena kualitas suatu jaringan ditentukan oleh baik atau buruknya perangkat yang digunakan [6]. Salah satu perangkat penting yang digunakan dalam suatu jaringan yaitu router yang berfungsi untuk mengirimkan paket data melalui sebuah jaringan atau internet.…”

Section: Pendahuluanunclassified

Analisa Kinerja Mikrotik RB 3011 UiAS-RM dan RB 450 Gx4 pada Unmaned Aerial Vehicle

2021

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With UAV (Unmaned Aerial Vehicle) technology, surveillance functions that are usually carried out by humans are simply replaced with cameras mounted on the UAV. The results can be seen on the display control station on the GCS (Ground Control Station) system. To transmit data from the drone to the GCS, a good wireless network is required. To get a good wireless network, it is necessary to choose the right device. One of the important devices used in a network is a router. So knowledge about router performance is needed in order to determine a good router to be used on UAV and on GCS. The router that was tested for its performance in this study was the RB 3011 UiAS-RM with RB 450 Gx4. The tests were carried out using the no-load and with-load bandwidth testing methods using the traffic generator feature. From the test results, it can be concluded that the RB 3011 UiAS-RM and 450 Gx4 routers have performance that is not much different. This can be seen from the results of the no-load bandwidth test. The RB 3011 UiAS-RM router has a better uplink than the RB 450 Gx4. While the RB 450 Gx4 router has a better downlink than the RB 3011 UiAS-RM. However, when viewed from the load in the test, the RB 3011 UiAS-RM is better (CPU Load=52%) than the RB 450 Gx4 (CPU Load=25%).

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Android Application Design as Ground Control Station (GCS) and Waypoint Navigation in Unmanned Aerial Vehicle (UAV)

Bachtiar

Ardilla

Felinanda

2019

2019 International Electronics Symposium (IES)

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Sistem Ground Control Station Berbasis Mobile Untuk Pengamatan Dan Pengendalian Uav

Cited by 5 publications

References 1 publication

Microlidar Application for Object Detector to Support The Navigation System in Self-Driving Vehicle

Microlidar Application for Object Detector to Support The Navigation System in Self-Driving Vehicle

Analisa Kinerja Mikrotik RB 3011 UiAS-RM dan RB 450 Gx4 pada Unmaned Aerial Vehicle

Android Application Design as Ground Control Station (GCS) and Waypoint Navigation in Unmanned Aerial Vehicle (UAV)

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