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1دورية أكاديمية
المؤلفون: Lucas Melchiori Pereira, Sheila Walbe Ornstein, Vitória Sanches Lemes Soares, Jean Amaro, Ana Judite Galbiatti Limongi França
المصدر: Applied Sciences, Vol 13, Iss 3, p 1599 (2023)
مصطلحات موضوعية: congruence mapping, flow of activities, environment allocation, evaluation method, data analysis, evidence-based design (EBD), Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
وصف الملف: electronic resource
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المؤلفون: Denis F. Wolf, Jean Amaro, Iago Pacheco Gomes, Fernando Santos Osório, José Alberto Diaz Amado
المصدر: Anais do XV Workshop de Visão Computacional (WVC 2019).
مصطلحات موضوعية: End-to-end principle, Computer science, business.industry, Deep learning, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Navigation system, RGB color model, Computer vision, Artificial intelligence, Multi camera, business, Scale (map), Image (mathematics)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::33fa0ff6472f2c3bc688b5a1f594bf16
https://doi.org/10.5753/wvc.2019.7623 -
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المؤلفون: Denis F. Wolf, Iago Pacheco Gomes, Jean Amaro, Fernando Santos Osório, José Alberto Diaz Amado
المصدر: 2019 IEEE Intelligent Vehicles Symposium (IV).
مصطلحات موضوعية: Computer science, Autonomous Navigation System, Machine vision, business.industry, Deep learning, 010401 analytical chemistry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Process (computing), Automotive industry, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences, End-to-end principle, 0202 electrical engineering, electronic engineering, information engineering, RGB color model, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, Scale (map), business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3110d131831e6193ec8acab405cf5bad
https://doi.org/10.1109/ivs.2019.8813897 -
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المصدر: HICSS
مصطلحات موضوعية: Stereopsis, business.industry, Computer science, Deep learning, Computer vision, Artificial intelligence, Motion planning, business, Sensor fusion, Software technology, Traffic sign detection
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::376642f323544d5843859ec4bb88fdbb
https://doi.org/10.24251/hicss.2019.887 -
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المؤلفون: Fernando Santos Osório, Diego Renan Bruno, Jean Amaro, Daniel O. Sales
المصدر: IJCNN
مصطلحات موضوعية: 050210 logistics & transportation, 010504 meteorology & atmospheric sciences, Artificial neural network, business.industry, Computer science, Deep learning, 05 social sciences, Feature extraction, Pedestrian crossing, 01 natural sciences, 0502 economics and business, Benchmark (computing), Task analysis, Traffic sign recognition, Computer vision, Artificial intelligence, business, 0105 earth and related environmental sciences
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::107bc73aa6d5a49ea4745549eabddfb8
https://doi.org/10.1109/ijcnn.2018.8489538 -
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المؤلفون: Fernando Santos Osório, Daniel O. Sales, Jean Amaro
المصدر: LARS/SBR
مصطلحات موضوعية: Artificial neural network, Computer science, business.industry, Feature extraction, Point cloud, Cognitive neuroscience of visual object recognition, 020207 software engineering, Robotics, 02 engineering and technology, Robustness (computer science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Augmented reality, Computer vision, Artificial intelligence, Invariant (mathematics), business
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c91a17e5449a7361e4bd8eaae27854a0
https://doi.org/10.1109/sbr-lars-r.2017.8215285 -
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المؤلفون: Gabriele Landim, Dyego Digiandomenico, Jean Amaro, Anja Pratschke, Marcelo Tramontano, Claudio Toledo
المصدر: ACADIA proceedings.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9e1cd45071db94bd939e8a8c1313def6
https://doi.org/10.52842/conf.acadia.2017.340