A Survey of Unmanned Aircraft System Technologies to enable Safe Operations in Urban Areas

Bloise, Nicoletta; Primatesta, Stefano; Antonini, Roberto; Fici, Gian Piero; Gaspardone, Marco; Guglieri, Giorgio; Rizzo, Alessandro

doi:10.1109/icuas.2019.8797859

Cited by 23 publications

(13 citation statements)

References 36 publications

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“…Beyond visual line of sight (BVLoS) missions bring a broad range of technological challenges associated with communications, remote controlling, rerouting, and other operations of autonomous or assisted navigation, localisation, operational AI, data protection, and cybersecurity [74,123,124,125]. In the case of multiple UA missions [119], like swarms of UAs, the challenge is even more severe [65].…”

Section: Qualities Of Uas Operationsmentioning

confidence: 99%

“…Human factors are often more critical to the success of a mission than technical excellence [124]. Among many others, the associated challenges include the level of competence, the sum of experience, the degree of understanding UAS and onboard and auxiliary equipment and their technical abilities and limitations, and the ability to proact or react to changing circumstances.…”

Section: Qualities Of Uas Operationsmentioning

confidence: 99%

“…It is recommended to anticipate or be aware of possible negative responses, and in some cases, the decision is between to continue the UA mission or cancel it [40,133]. UAS operators' insufficient qualification may not be a reason for mission failure but may bring unwanted risks [124]. Therefore, for some specific missions, additional training and the official certification of UAS operators are required [3].…”

Section: Qualities Of Uas Operationsmentioning

confidence: 99%

“…Safety is one of the key set of technological challenges [139,140]. A variety of safety-relevant aspects are investigated and addressed [67,124]. UAS provide enormous potential safety, e.g.…”

Section: Infrastructure-related Challengesmentioning

confidence: 99%

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Unmanned Aircraft Systems and the Nordic Challenges

Kramar

Röning

Erkkila

et al. 2021

New Developments and Environmental Applications of Drones

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Section: Qualities Of Uas Operationsmentioning

confidence: 99%

Section: Qualities Of Uas Operationsmentioning

confidence: 99%

Section: Qualities Of Uas Operationsmentioning

confidence: 99%

Section: Infrastructure-related Challengesmentioning

confidence: 99%

See 2 more Smart Citations

Unmanned Aircraft Systems and the Nordic Challenges

Kramar

Röning

Erkkila

et al. 2021

New Developments and Environmental Applications of Drones

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“…The use of Unmanned Aircraft Systems (UAS) has increased progressively across a wide range of applications such as remote sensing, search and rescue, security and surveillance, precision agriculture, infrastructure inspection and urban planning, to name a few [35]. Such extensive use of UAS triggered the rapid growth of various related research topics, of which autonomous flight has been driving great interest [3]. The great availability of powerful and efficient computational capabilities has enabled the extensive use of optimal control strategies and machine learning to address the problem of autonomy.…”

Section: Introductionmentioning

confidence: 99%

MP-RRT#: a Model Predictive Sampling-based Motion Planning Algorithm for Unmanned Aircraft Systems

Primatesta

Osman

Rizzo

2021

J Intell Robot Syst

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This paper introduces a kinodynamic motion planning algorithm for Unmanned Aircraft Systems (UAS), called MP-RRT#. MP-RRT# joins the potentialities of RRT# with a strategy based on Model Predictive Control to efficiently solve motion planning problems under differential constraints. Similar to other RRT-based algorithms, MP-RRT# explores the map constructing an asymptotically optimal graph. In each iteration the graph is extended with a new vertex in the reference state of the UAS. Then, a forward simulation is performed using a Model Predictive Control strategy to evaluate the motion between two adjacent vertices, and a trajectory in the state space is computed. As a result, the MP-RRT# algorithm eventually generates a feasible trajectory for the UAS satisfying dynamic constraints. Simulation results obtained with a simulated drone controlled with the PX4 autopilot corroborate the validity of the MP-RRT# approach.

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Obstacle Detection

Matthies¹

2021

Computer Vision

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A Survey of Unmanned Aircraft System Technologies to enable Safe Operations in Urban Areas

Cited by 23 publications

References 36 publications

Unmanned Aircraft Systems and the Nordic Challenges

Unmanned Aircraft Systems and the Nordic Challenges

MP-RRT#: a Model Predictive Sampling-based Motion Planning Algorithm for Unmanned Aircraft Systems

Obstacle Detection

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