scholarly journals A Robot Operating System Framework for Secure UAV Communications

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1369
Author(s):  
Hyojun Lee ◽  
Jiyoung Yoon ◽  
Min-Seong Jang ◽  
Kyung-Joon Park
Keyword(s):  
Operating System ◽  
Unmanned Aerial Vehicles ◽  
Ground Control ◽  
Unmanned Aerial System ◽  
Security Framework ◽  
Security Vulnerabilities ◽  
Robot Operating System ◽  
Security Issues ◽  
Aerial Vehicles ◽  
Ground Control Station

To perform advanced operations with unmanned aerial vehicles (UAVs), it is crucial that components other than the existing ones such as flight controller, network devices, and ground control station (GCS) are also used. The inevitable addition of hardware and software to accomplish UAV operations may lead to security vulnerabilities through various vectors. Hence, we propose a security framework in this study to improve the security of an unmanned aerial system (UAS). The proposed framework operates in the robot operating system (ROS) and is designed to focus on several perspectives, such as overhead arising from additional security elements and security issues essential for flight missions. The UAS is operated in a nonnative and native ROS environment. The performance of the proposed framework in both environments is verified through experiments.

Ergonomic and General Ground Control Station Design for Unmanned Aerial Vehicles

2013 ◽  
Vol 390 ◽  
pp. 388-392
Author(s):  
Ai Zhi Liu ◽  
Bao An Li ◽  
An Min Xi
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Flight Control ◽  
Ground Control ◽  
Hardware Platform ◽  
Gigabit Ethernet ◽  
Aerial Vehicles ◽  
Control Console ◽  
General Ground ◽  
Ground Control Station ◽  
Standard Interface

In the view of the existing design for Ground Control Station(GCS) of Unmanned Aerial Vehicles(UAV) lacking of generality and ergonomics, a kind of ergonomic and general GCS is designed; the architecture of GCS system, which is general open and distributed, is constructed based on Gigabit Ethernet; a standard and general hardware platform is designed; software follows Standard Interface of STANAG 4586; the Shelter and Flight Control Console(FCC) are designed based on Ergonomics; that is an exploration for the design of GCS.

Immersive Ground Control Station for Unmanned Aerial Vehicles

2017 ◽  
pp. 595-604
Author(s):  
Glesio Garcia de Paiva ◽  
Diego Roberto Colombo Dias ◽  
Marcelo de Paiva Guimarães ◽  
Luis Carlos Trevelin
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Ground Control ◽  
Aerial Vehicles ◽  
Ground Control Station

scholarly journals On-Board Real-Time Trajectory Planning for Fixed Wing Unmanned Aerial Vehicles in Extreme Environments

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4085 ◽  
Author(s):  
Ben Schellenberg ◽  
Tom Richardson ◽  
Arthur Richards ◽  
Robert Clarke ◽  
Matt Watson
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Real Time ◽  
Long Range ◽  
Extreme Environments ◽  
Ground Control ◽  
Raspberry Pi ◽  
Atmospheric Conditions ◽  
Aerial Vehicles ◽  
Ground Control Station ◽  
Summit Region

A team from the University of Bristol have developed a method of operating fixed wing Unmanned Aerial Vehicles (UAVs) at long-range and high-altitude over Volcán de Fuego in Guatemala for the purposes of volcanic monitoring and ash-sampling. Conventionally, the mission plans must be carefully designed prior to flight, to cope with altitude gains in excess of 3000 m, reaching 9 km from the ground control station and 4500 m above mean sea level. This means the climb route cannot be modified mid-flight. At these scales, atmospheric conditions change over the course of a flight and so a real-time trajectory planner (RTTP) is desirable, calculating a route on-board the aircraft. This paper presents an RTTP based around a genetic algorithm optimisation running on a Raspberry Pi 3 B+, the first of its kind to be flown on-board a UAV. Four flights are presented, each having calculated a new and valid trajectory on-board, from the ground control station to the summit region of Volcań de Fuego. The RTTP flights are shown to have approximately equivalent efficiency characteristics to conventionally planned missions. This technology is promising for the future of long-range UAV operations and further development is likely to see significant energy and efficiency savings.

scholarly journals A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development Trends

2014 ◽  
Vol 02 (02) ◽  
pp. 175-199 ◽  
Author(s):  
Guowei Cai ◽  
Jorge Dias ◽  
Lakmal Seneviratne
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Future Development ◽  
Flight Control ◽  
Ground Control ◽  
Small Scale ◽  
Dynamics Modeling ◽  
Aerial Vehicles ◽  
Recent Advances ◽  
Ground Control Station ◽  
Military Applications

This paper provides a brief overview on the recent advances of small-scale unmanned aerial vehicles (UAVs) from the perspective of platforms, key elements, and scientific research. The survey starts with an introduction of the recent advances of small-scale UAV platforms, based on the information summarized from 132 models available worldwide. Next, the evolvement of the key elements, including onboard processing units, navigation sensors, mission-oriented sensors, communication modules, and ground control station, is presented and analyzed. Third, achievements of small-scale UAV research, particularly on platform design and construction, dynamics modeling, and flight control, are introduced. Finally, the future of small-scale UAVs' research, civil applications, and military applications are forecasted.

scholarly journals Robot Operating System (ROS) in Quadcopter Flying Robot Using Telemetry System

2021 ◽  
Vol 1 (1) ◽  
pp. 54-65
Author(s):  
Mohammad Iqbalul Faiq Hatta ◽  
Nuryono Satya Widodo
Keyword(s):  
Operating System ◽  
Pitch Angle ◽  
Visual Display ◽  
Roll Angle ◽  
Ground Control ◽  
Telemetry System ◽  
Measuring Instrument ◽  
Robot Operating System ◽  
Ground Control Station ◽  
Flying Robot

In this study implementing odometry using RVIZ on a quadcopter flying robot that uses the Pixhawk Cube firmware version 3.6.8 as the sub-controller. Then the Lenovo G400 laptop as the main-controller as well as the Ground Control Station using the ubuntu 16.04 Linux operating system. The ROS platform uses the Kinetic and MAVROS versions as a quadcopter platform package using MAVlink communication with the telemetry module. The odometry system was tested using Rviz as navigation for Quadcopter movements in carrying out movements that follow movement patterns in certain shapes and perform basic robot movements. Data were collected using a standard measuring instrument inclinometer as a measurement of the slope of the robot and visualization RVIZ as a visual display of the odometric robot. The results of the research obtained are that the flying robot can maneuver according to the shape on the RVIZ according to the movements carried out directly at the airport, as well as the effect of the roll angle on the quadcopter (negative left roll, positive right) and the pitch angle on the quadcopter (negative forward pitch, the pitch returns positive).

scholarly journals Path Planning and Obstacle Avoidance for UAV in an Uncharted Environment

2021 ◽  
Vol 9 (8) ◽  
pp. 2353-2359
Author(s):  
Shubhankar Goje
Keyword(s):  
Operating System ◽  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Obstacle Avoidance ◽  
Obstacle Detection ◽  
Ongoing Research ◽  
Robot Operating System ◽  
Aerial Vehicles ◽  
Different Types ◽  
Infinite Loop

Abstract: The growing industry of unmanned aerial vehicles (UAV) requires an efficient and robust algorithm to decide the path of the UAV and avoid obstacles. The study of pathfinding algorithms is ongoing research not just useful in the domain of drones, but in other fields like video games (AI pathfinding), terrain traversal (mapped, unmapped, areal, underwater, land, etc.), and industries that require robots to deliver packages. This paper proposes a new pathfinding algorithm that aims to solve the problem of pathfinding in unknown 2-dimensional terrain. Based on a system of assumptions and using the help of a set of sensors aboard the UAV, the algorithm navigates the UAV from a start point to an endpoint while avoiding any shape or size of obstacles in between. To avoid multiple different types of “infinite loop” situations where the UAV gets stuck around an obstacle, a priority-based selector for intermediate destinations is created. The algorithm is found to work effectively when simulated in Gazebo on Robot Operating System (ROS). Keywords: Path Planning, UAV, Obstacle Avoidance, Drone Navigation, Obstacle Detection, Uncharted Environment.

LIGHTER-THAN-AIR (LTA) UNMANNED AERIAL SYSTEM (UAS) CARRIER CONCEPT FOR SURVAILLANCE AND DISASTER MANAGEMENT

2019 ◽  
Vol 3 ◽  
pp. 1255
Author(s):  
Ahmad Salahuddin Mohd Harithuddin ◽  
Mohd Fazri Sedan ◽  
Syaril Azrad Md Ali ◽  
Shattri Mansor ◽  
Hamid Reza Jifroudi ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Disaster Management ◽  
Unmanned Aerial Systems ◽  
Unmanned Aerial System ◽  
Border Control ◽  
Aerial Vehicles ◽  
Operational Safety ◽  
In Situ Methods ◽  
Aerial Systems

Unmanned aerial systems (UAS) has many advantages in the fields of SURVAILLANCE and disaster management compared to space-borne observation, manned missions and in situ methods. The reasons include cost effectiveness, operational safety, and mission efficiency. This has in turn underlined the importance of UAS technology and highlighted a growing need in a more robust and efficient unmanned aerial vehicles to serve specific needs in SURVAILLANCE and disaster management. This paper first gives an overview on the framework for SURVAILLANCE particularly in applications of border control and disaster management and lists several phases of SURVAILLANCE and service descriptions. Based on this overview and SURVAILLANCE phases descriptions, we show the areas and services in which UAS can have significant advantage over traditional methods.

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