Developing Smart COVID-19 Social Distancing Surveillance Drone using YOLO Implemented in Robot Operating System simulation environment

F1_Tenth_Course_Report_Group_C

10.31224/osf.io/68bvh ◽

2018 ◽

Author(s):

Yi Chen ◽

Sagar Manglani ◽

Roberto Merco ◽

Drew Bolduc

Keyword(s):

Operating System ◽

Autonomous Driving ◽

Software Tools ◽

Simulation Environment ◽

Robot Operating System ◽

Available Information

In this paper, we discuss several of major robot/vehicle platforms available and demonstrate the implementation of autonomous techniques on one such platform, the F1/10. Robot Operating System was chosen for its existing collection of software tools, libraries, and simulation environment. We build on the available information for the F1/10 vehicle and illustrate key tools that will help achieve properly functioning hardware. We provide methods to build algorithms and give examples of deploying these algorithms to complete autonomous driving tasks and build 2D maps using SLAM. Finally, we discuss the results of our findings and how they can be improved.

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An architecture for multi-robot localization and mapping in the Gazebo/Robot Operating System simulation environment

SIMULATION ◽

10.1177/0037549717710098 ◽

2017 ◽

Vol 93 (9) ◽

pp. 771-780 ◽

Cited By ~ 4

Author(s):

Erkan Uslu ◽

Furkan Çakmak ◽

Nihal Altuntaş ◽

Salih Marangoz ◽

Mehmet Fatih Amasyalı ◽

...

Keyword(s):

Operating System ◽

Three Dimensional ◽

Simulation Environment ◽

Urban Search And Rescue ◽

Mapping Algorithms ◽

Robot Operating System ◽

Mapping Algorithm ◽

Localization And Mapping ◽

Dimensional Simulation ◽

Multi Robot

Robots are an important part of urban search and rescue tasks. World wide attention has been given to developing capable physical platforms that would be beneficial for rescue teams. It is evident that use of multi-robots increases the effectiveness of these systems. The Robot Operating System (ROS) is becoming a standard platform for the robotics research community for both physical robots and simulation environments. Gazebo, with connectivity to the ROS, is a three-dimensional simulation environment that is also becoming a standard. Several simultaneous localization and mapping algorithms are implemented in the ROS; however, there is no multi-robot mapping implementation. In this work, two multi-robot mapping algorithm implementations are presented, namely multi-robot gMapping and multi-robot Hector Mapping. The multi-robot implementations are tested in the Gazebo simulation environment. Also, in order to achieve a more realistic simulation, every incremental robot movement is modeled with rotational and translational noise.

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Are social networking platforms the key to effective social distancing for COVID-19? (Preprint)

10.2196/preprints.19722 ◽

2020 ◽

Author(s):

Viknesh Sounderajah ◽

Hutan Ashrafian ◽

Sheraz Markar ◽

Ara Darzi

Keyword(s):

Operating System ◽

Social Networking ◽

Contact Tracing ◽

Text Data ◽

Social Distancing ◽

Web Mapping ◽

Viral Spread ◽

Behavioural Insights ◽

Mapping Software ◽

Incidence And Mortality

UNSTRUCTURED If health systems are to effectively employ social distancing measures to in response to further COVID-19 peaks, they must adopt new behavioural metrics that can supplement traditional downstream measures, such as incidence and mortality. Access to mobile digital innovations may dynamically quantify compliance to social distancing (e.g. web mapping software) as well as establish personalised real-time contact tracing of viral spread (e.g. mobile operating system infrastructure through Google-Apple partnership). In particular, text data from social networking platforms can be mined for unique behavioural insights, such as symptom tracking and perception monitoring. Platforms, such as Twitter, have shown significant promise in tracking communicable pandemics. As such, it is critical that social networking companies collaborate with each other in order to (1) enrich the data that is available for analysis, (2) promote the creation of open access datasets for researchers and (3) cultivate relationships with governments in order to affect positive change.

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A Robot Operating System Framework for Secure UAV Communications

Sensors ◽

10.3390/s21041369 ◽

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.

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