Comparison of exact and approximate approaches to UAVs mission contingency planning in dynamic environments

Autor: Grzegorz Radzki, Grzegorz Bocewicz, Jaroslaw Wikarek, Peter Nielsen, Zbigniew Banaszak

Publikováno v: Mathematical Biosciences and Engineering, Vol 19, Iss 7, Pp 7091-7121 (2022)

This paper presents a novel approach to the joint proactive and reactive planning of deliveries by an unmanned aerial vehicle (UAV) fleet. We develop a receding horizon-based approach to contingency planning for the UAV fleet's mission. We considered

Externí odkaz: https://doaj.org/article/20b7ba5fde7f49ca84ab4a910ea996dd

Energy-Aware Management in Multi-UAV Deployments: Modelling and Strategies

Autor: Victor Sanchez-Aguero, Francisco Valera, Ivan Vidal, Christian Tipantuña, Xavier Hesselbach

Publikováno v: Sensors, Vol 20, Iss 10, p 2791 (2020)

Nowadays, Unmanned Aerial Vehicles (UAV) are frequently present in the civilian environment. However, proper implementations of different solutions based on these aircraft still face important challenges. This article deals with multi-UAV systems, fo

Externí odkaz: https://doaj.org/article/6d8a9e6522c54286a34ad9c63146adc3

A Solution Approach for UAV Fleet Mission Planning in Changing Weather Conditions

Autor: Amila Thibbotuwawa, Grzegorz Bocewicz, Banaszak Zbigniew, Peter Nielsen

Publikováno v: Applied Sciences, Vol 9, Iss 19, p 3972 (2019)

With a rising demand for utilizing unmanned aerial vehicles (UAVs) to deliver materials in outdoor environments, particular attention must be given to all the different aspects influencing the deployment of UAVs for such purposes. These aspects inclu

Externí odkaz: https://doaj.org/article/6c6972d7ffa145e099f6ca4b3c265e90

UAV fleet mission planning subject to robustness constraints

Autor: Radzki, G., Nielsen, P., Bocewicz, G., Banaszak, Z.

Publikováno v: Radzki, G, Nielsen, P, Bocewicz, G & Banaszak, Z 2021, UAV fleet mission planning subject to robustness constraints . in S Rodríguez González, J Prieto, A González-Briones, A Gola, G Katranas, M Ricca, R Loukanova & R Loukanova (eds), Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference, DCAI 2020 . Springer VS, Advances in Intelligent Systems and Computing, vol. 1242 AISC, pp. 35-47, 17th International Symposium on Distributed Computing and Artificial Intelligence, DCAI 2020, L´Aquila, Italy, 17/06/2020 . https://doi.org/10.1007/978-3-030-53829-3_4

Fleet mission planning for Unmanned Aerial Vehicles (UAVs) involves creating flight plans for a specific set of objectives, which typically, have to be achieved over a specific time period. The key challenge is to develop methods allowing to prototyp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::76bbccb10f8e80cc09e5876961dc6705
https://vbn.aau.dk/da/publications/c7cdc108-bb73-4835-adf0-435486ac51ab

UAV Mission Planning Resistant to Weather Uncertainty

Autor: Grzegorz Bocewicz, Zbigniew Banaszak, Amila Thibbotuwawa, Grzegorz Radzki, Peter Nielsen

Publikováno v: Sensors
Volume 20
Issue 2
Thibbotuwawa, A, Bocewicz, G, Radzki, G, Nielsen, P & Banaszak, Z 2020, ' UAV mission planning resistant to weather uncertainty ', Sensors (Switzerland), vol. 20, no. 2, 515 . https://doi.org/10.3390/s20020515
Sensors, Vol 20, Iss 2, p 515 (2020)
Sensors (Basel, Switzerland)

Fleet mission planning for Unmanned Aerial Vehicles (UAVs) is the process of creating flight plans for a specific set of objectives and typically over a time period. Due to the increasing focus on the usage of large UAVs, a key challenge is to conduc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b1183c72675d713b42b50db5c1f4ed9