Impact of drone swarm formations in 3D scene reconstruction

Milani, Simone; Memo, Alvise

doi:10.1109/icip.2016.7532829

Cited by 15 publications

(14 citation statements)

References 17 publications

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“…The papers that were published prior to 2015 were dropped. The resulting list contained 17 papers [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], which were filtered by excluding papers that did not comply to at least one of the following requirements: Due to the formulation of the problem task, reviewed papers should be characterized by a set of unified criteria that describe how the main challenges are handled. These criteria can be structured in a form of five questions for each paper:…”

Section: State Of the Artmentioning

confidence: 99%

“…Systems of a homogeneous architecture (i.e., all drones have the same role) with a centralized control are the most common among all reviewed articles [3,9,10,[13][14][15]. A big subset of these solutions [9,10,13,14] organize control by a similar scheme-all drones capture images and/or videos using a predefined set or independent trajectories [9,14], set of predefined waypoints [10] or moving in a stable formation by a single predefined trajectory [13]. However, a more interactive approach is also used.…”

Section: What Multiagent Approach Is Used?mentioning

confidence: 99%

“…All reviewed solutions can be divided to three groups by the localization approach-SLAM-based [6,7,11,15,18,19], machine learning-based [5,8,12] and solutions that rely on any drone built-in technologies, which rely on a visual markup or do not specify any particular approach [3,4,9,10,13,14,16,17].…”

Section: What Localization Approach Is Used?mentioning

confidence: 99%

See 2 more Smart Citations

Multi-Drone 3D Building Reconstruction Method

2021

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In the recent decade, the rapid development of drone technologies has made many spatial problems easier to solve, including the problem of 3D reconstruction of large objects. A review of existing solutions has shown that most of the works lack the autonomy of drones because of nonscalable mapping techniques. This paper presents a method for centralized multi-drone 3D reconstruction, which allows performing a data capturing process autonomously and requires drones equipped only with an RGB camera. The essence of the method is a multiagent approach—the control center performs the workload distribution evenly and independently for all drones, allowing simultaneous flights without a high risk of collision. The center continuously receives RGB data from drones and performs each drone localization (using visual odometry estimations) and rough online mapping of the environment (using image descriptors for estimating the distance to the building). The method relies on a set of several user-defined parameters, which allows the tuning of the method for different task-specific requirements such as the number of drones, 3D model detalization, data capturing time, and energy consumption. By numerical experiments, it is shown that method parameters can be estimated by performing a set of computations requiring characteristics of drones and the building that are simple to obtain. Method performance was evaluated by an experiment with virtual building and emulated drone sensors. Experimental evaluation showed that the precision of the chosen algorithms for online localization and mapping is enough to perform simultaneous flights and the amount of captured RGB data is enough for further reconstruction.

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Section: State Of the Artmentioning

confidence: 99%

Section: What Multiagent Approach Is Used?mentioning

confidence: 99%

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Multi-Drone 3D Building Reconstruction Method

2021

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“…UAV swarms use algorithms to guide the formation of safe and collision-free navigation. Reconstruction accuracy of a swarm of drones patrolling in a 3D environment and its effect on formations is presented in [79]. The ineffectual configuration is overcome by making use of the camera-in-view side information.…”

Section: Machine Learning and Artificial Intelligence Technologiesmentioning

confidence: 99%

Aerial and Under-water Dronal Communication: Potentials, Issues and Vulnerabilities

Srinivasan*¹,

Ramaneswaran²,

Subramanian³

et al. 2019

IJITEE

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The use of UAVs has been on the rise since the past decade. These UAVs are very versatile and can be applied to several fields ranging from agriculture to military reconnaissance. Due to the immense functionality of the UAVs, it has now become a very popular topic in Research. With the advent of Deep Learning and Machine Learning the autonomous navigation functionalities have been improved but it still poses a challenge as navigating a drone involves the integration of its software and hardware functionalities. This paper reviews both indoor and outdoor navigation. Topics in navigation such as Control, Hardware, Algorithms, Path-Planning, and communication are touched upon in this paper. The paper also presents a discussion on the Navigation of UAVs using visionbased technologies, this technology encompasses the use of various sensors and cameras and integrate it with the navigation system of the UAV to ensure the success of UAV’s operation. UAVs play a pivotal role in networking, many applications have been developed which have UAVs as an important component in them. Their applications include Urban computing, Internet of Things, Ubiquitous Computing to name a few. Safely operating a UAV as a network node is not a simple task, these nodes are prone to various types of attacks. A new type of attack introduced in this paper is termed as “Coagulation Attack”. This attack gets its name from the coagulation property of fluids wherein fluids clot and their particles settle down. This paper explores the concept, issues, challenges and research aspects of Coagulation attack. This paper also introduces the concept of Underwater Wireless Communication. On a planet where 70% of the surface is covered in water, UWC has a lot of potentials to be exploited. Moreover UWC is critical in many key areas of Maritime research, commerce, and surveillance. UWC is used for experimental observation, data collection and analysis, underwater navigation, disaster prevention and early detection warning of a tsunami. In addition, we summarize emerging technologies in the UWC, future research directions and recommendations using fifth-generation (5G) communication techniques.

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“…Particularly, fully autonomous Unmanned Aerial Vehicles (UAV), or drones, are of key interest to the research community due to their unique properties and many relevant applications [2]- [4]. There is a lot of work going on in the field of drones and swarm of drones, with recent years witnessing a proliferation in the use of not only unmanned aerial vehicles but also ground and surface vehicles (UGV & USV), mostly for surveillance, mapping, and inspection [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches

et al. 2020

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Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision avoidance systems (CAS). A lot of work is being done to make the CAS as safe and reliable as possible, necessitating a comparative study of the recent work in this important area. The paper provides a comprehensive review of collision avoidance strategies used for unmanned vehicles, with the main emphasis on unmanned aerial vehicles (UAV). It is an in-depth survey of different collision avoidance techniques that are categorically explained along with a comparative analysis of the considered approaches w.r.t. different scenarios and technical aspects. This also includes a discussion on the use of different types of sensors for collision avoidance in the context of UAVs. INDEX TERMS autonomous aerial vehicles, autonomous vehicles, collision avoidance, active and passive sensors, optimisation-based, force-field based, sense and avoid, geometry based

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Impact of drone swarm formations in 3D scene reconstruction

Cited by 15 publications

References 17 publications

Multi-Drone 3D Building Reconstruction Method

Multi-Drone 3D Building Reconstruction Method

Aerial and Under-water Dronal Communication: Potentials, Issues and Vulnerabilities

Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches

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