Collision avoidance on unmanned aerial vehicles using neural network pipelines and flow clustering techniques D Pedro, JP Matos-Carvalho, JM Fonseca, A Mora Remote Sensing 13 (13), 2643, 2021 | 21 | 2021 |
Colanet: A uav collision avoidance dataset D Pedro, A Mora, J Carvalho, F Azevedo, J Fonseca Technological Innovation for Life Improvement: 11th IFIP WG 5.5/SOCOLNET …, 2020 | 19 | 2020 |
Static and dynamic algorithms for terrain classification in uav aerial imagery JP Matos-Carvalho, F Moutinho, AB Salvado, T Carrasqueira, ... Remote Sensing 11 (21), 2501, 2019 | 16 | 2019 |
Autonomous environment generator for UAV-based simulation J Nakama, R Parada, JP Matos-Carvalho, F Azevedo, D Pedro, L Campos Applied Sciences 11 (5), 2185, 2021 | 15 | 2021 |
Ffau—framework for fully autonomous uavs D Pedro, JP Matos-Carvalho, F Azevedo, R Sacoto-Martins, L Bernardo, ... Remote Sensing 12 (21), 3533, 2020 | 15 | 2020 |
Uav cloud platform for precision farming M Pino, JP Matos-Carvalho, D Pedro, LM Campos, JC Seco 2020 12th International Symposium on Communication Systems, Networks and …, 2020 | 13 | 2020 |
Terrain classification using WK filter and 3D navigation with static collision avoidance JP Matos-Carvalho, D Pedro, LM Campos, JM Fonseca, A Mora Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020 | 11 | 2020 |
Autonomous UAS-based agriculture applications: general overview and relevant European case studies M Merz, D Pedro, V Skliros, C Bergenhem, M Himanka, T Houge, ... Drones 6 (5), 128, 2022 | 10 | 2022 |
How to build a 2d and 3d aerial multispectral map?—all steps deeply explained A Vong, JP Matos-Carvalho, P Toffanin, D Pedro, F Azevedo, F Moutinho, ... Remote Sensing 13 (16), 3227, 2021 | 10 | 2021 |
Localization of static remote devices using smartphones D Pedro, S Tomic, L Bernardo, M Beko, R Oliveira, R Dinis, P Pinto 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-5, 2018 | 10 | 2018 |
Algorithms for estimating the location of remote nodes using smartphones D Pedro, S Tomic, L Bernardo, M Beko, R Oliveira, R Dinis, P Pinto, ... IEEE Access 7, 33713-33727, 2019 | 7 | 2019 |
Vineyard gap detection by convolutional neural networks fed by multi-spectral images S Sulemane, JP Matos-Carvalho, D Pedro, F Moutinho, SD Correia Algorithms 15 (12), 440, 2022 | 5 | 2022 |
Precision Landing for Low-Maintenance Remote Operations with UAVs M Moreira, F Azevedo, A Ferreira, D Pedro, J Matos-Carvalho, Á Ramos, ... Drones 5 (4), 103, 2021 | 5 | 2021 |
HEIFU-Hexa Exterior Intelligent Flying Unit D Pedro, P Lousã, Á Ramos, JP Matos-Carvalho, F Azevedo, L Campos Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops: DECSoS …, 2021 | 4 | 2021 |
Reference Scenarios and Key Performance Indicators for 5G Ultra-dense Networks LM Campos, L Ribeiro, I Karydis, S Karagiannis, D Pedro, J Martins, ... 2020 12th International Symposium on Communication Systems, Networks and …, 2020 | 2 | 2020 |
UAV-based Scenario Builder and Physical Testing platform for Autonomous Vehicles A Chilkunda, S Nakama, V Chilkunda, D Pedro, JP Matos-Carvalho, ... 2023 6th Conference on Cloud and Internet of Things (CIoT), 77-84, 2023 | 1 | 2023 |
Open-Source Mapping Method Applied to Thermal Imagery A Vong, JP Matos-Carvalho, D Pedro, S Tomic, M Beko, F Azevedo, ... Science and Information Conference, 43-57, 2022 | | 2022 |
Collision Avoidance on Unmanned Aerial Vehicles using Deep Neural Networks D Pedro NOVA University Lisbon, Portugal, 2022 | | 2022 |
Flow Empirical Mode Decomposition D Pedro, RT Rato, JP Matos-Carvalho, JM Fonseca, A Mora Intelligent Systems and Applications: Proceedings of the 2021 Intelligent …, 2022 | | 2022 |
Posicionamento Cooperativo usando Dispositivos Android DFR Pedro Universidade Lusófona, 2017 | | 2017 |