Towards a framework of key technologies for drones

Nouacer, Réda; Hussein, Mansour F.; Espinoza, Huáscar; Ouhammou, Yassine; Ladeira, Matheus; Castiñeira, Rodrigo

doi:10.1016/j.micpro.2020.103142

Cited by 40 publications

(18 citation statements)

References 13 publications

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“…Nouacer et al [ 67 ] designed a framework to secure the architectures based drone for software and hardware. The framework holds a holistically built ecosystem ranging from electronic components to applications.…”

Section: Recent Advancementsmentioning

confidence: 99%

The Internet of Drones: Requirements, Taxonomy, Recent Advances, and Challenges of Research Trends

Abdelmaboud

2021

Sensors

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The use of unmanned aerial vehicles or drones are a valuable technique in coping with issues related to life in the general public’s daily routines. Given the growing number of drones in low-altitude airspace, linking drones to form the Internet of drones (IoD) is a highly desirable trend to improve the safety as well as the quality of flight. However, there remain security, privacy, and communication issues related to IoD. In this paper, we discuss the key requirements of security, privacy, and communication and we present a taxonomy of IoD based on the most relevant considerations. Furthermore, we present the most commonly used commercial case studies and address the latest advancements and solutions proposed for the IoD environments. Lastly, we discuss the challenges and future research directions of IoD.

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Section: Recent Advancementsmentioning

confidence: 99%

The Internet of Drones: Requirements, Taxonomy, Recent Advances, and Challenges of Research Trends

Abdelmaboud

2021

Sensors

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“…The generative aspect of PReGO is based on model-driven software development (MDSD) [40], which is increasingly used in robotics [35] and drones [26,31] to automatically generate parts of the implementation of a component-based system, such as ROS [28]. In the case of ROS, robotics toolchains like BRIDE [7] and SmartSoft [35] provide strong support for MDSD, and similarly rely on DSLs to specify the overall composition of the system.…”

Section: Related Workmentioning

confidence: 99%

PReGO: a generative methodology for satisfying real-time requirements on COTS-based systems: definition and experience report

Rouxel

Schultz

Åkesson

et al. 2020

Proceedings of the 19th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences

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Satisfying real-time requirements in cyber-physical systems is challenging as timing behaviour depends on the application software, the embedded hardware, as well as the execution environment. This challenge is exacerbated as realworld, industrial systems often use unpredictable hardware and software libraries or operating systems with timing hazards and proprietary device drivers. All these issues limit or entirely prevent the application of established real-time analysis techniques.In this paper we propose PReGO, a generative methodology for satisfying real-time requirements in industrial commercial-off-the-shelf (COTS) systems. We report on our experience in applying PReGO to a use-case: a Search & Rescue application running on a fixed-wing drone with COTS components, including an NVIDIA Jetson board and a stock Ubuntu/Linux. We empirically evaluate the impact of each integration step and demonstrate the effectiveness of our methodology in meeting real-time application requirements in terms of deadline misses and energy consumption.

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“…Over the past few years, drones have increasingly been used in transportation, logistics or agriculture to achieve various missions such as firefighting, safety, surveillance, generation of climate data, to name a few [1]. In building industry, drones have been used to inspect the facade of high-rise buildings that raise safety risk and danger to Humans [2].…”

Section: Introductionmentioning

confidence: 99%