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TÍTULO: Dense disparity maps from rgb and sparse depth information using deep regression models
AUTORES: Leite, PN ; Silva, RJ ; Campos, DF ; Pinto, AM ;
PUBLICAÇÃO: 2020, FONTE: 17th International Conference on Image Analysis and Recognition, ICIAR 2020 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12131 LNCS
INDEXADO EM: Scopus CrossRef: 3
NO MEU: ORCID
12
TÍTULO: Detecting Docking-based Structures for Persistent ASVs using a Volumetric Neural Network
AUTORES: Maria Ines Pereira ; Pedro Nuno Leite ; Andry Maykol Pinto ;
PUBLICAÇÃO: 2020, FONTE: Global OCEANS Singapore - U.S. Gulf Coast Conference in GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST
INDEXADO EM: Scopus WOS CrossRef: 3
NO MEU: ORCID
13
TÍTULO: Multi-Agent Optimization for Offshore Wind Farm Inspection using an Improved Population-based Metaheuristic
AUTORES: Silva, RJ ; Leite, PN ; Pinto, AM ;
PUBLICAÇÃO: 2020, FONTE: IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) in 2020 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2020)
INDEXADO EM: Scopus WOS CrossRef: 3
NO MEU: ORCID
14
TÍTULO: An Hierarchical Architecture for Docking Autonomous Surface Vehicles
AUTORES: Pedro Leite ; Renato Silva ; Anibal Matos ; Andry Maykol Pinto ;
PUBLICAÇÃO: 2019, FONTE: 19th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) in 2019 19TH IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2019)
INDEXADO EM: Scopus WOS CrossRef: 14
NO MEU: ORCID
15
TÍTULO: Hybrid Approach to Estimate a Collision-Free Velocity for Autonomous Surface Vehicles
AUTORES: Renato Silva ; Pedro Leite ; Daniel Campos ; Andry M Pinto ;
PUBLICAÇÃO: 2019, FONTE: 19th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) in 2019 19TH IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2019)
INDEXADO EM: Scopus WOS CrossRef: 7
NO MEU: ORCID
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