Journal Articles
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T.T. Cocias, A. Razvant, S.M. Grigorescu, "GFPNet: A Deep Network for Learning Shape Completion in Generic Fitted Primitives",
IEEE Robotics and Automation Letters, vol. 5, no. 3, pp. 4493–4500, 2020.
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S.M. Grigorescu, T.T. Cocias, B. Trasnea, A. Margheri, F. Lombardi, L. Aniello, "Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles",
Sensors, 20(19), 5450, 2020.
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S.M. Grigorescu, B. Trasnea, T.T. Cocias, G. Macesanu, "A Survey of Deep Learning Techniques for Autonomous Driving",
Journal of Field Robotics, DOI: 10.1002/rob.21918, 2019.
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S.M. Grigorescu, B. Trasnea, L. Marina, A. Vasilcoi, T.T. Cocias, "NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles",
IEEE Robotics and Automation Letters, vol. 4, no. 4, pp. 3441–3448, Oct. 2019.
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T.T. Cocias, S.M. Grigorescu, F. Moldoveanu, "Generic Fitted Shapes (GFS): Volumetric Object Segmentation in Service Robotics",
Robotics and Autonomous Systems, Elsevier, vol. 61, no. 9, pp. 960–972, ISSN: 0921-8890, 2013.
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S.M. Grigorescu, G. Macesanu, T.T. Cocias, D. Puiu, F. Moldoveanu, "Robust Camera Pose and Scene Structure Analysis for Service Robotics",
Robotics and Autonomous Systems, Elsevier, vol. 59, no. 11, pp. 889–909, 2011.
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T.T. Cocias, S.M. Grigorescu, F. Moldoveanu, "3D Structure Estimation from a Single View Using Generic Fitted Primitives (GFP)",
Computer Vision, Imaging and Computer Graphics — Theory and Applications, vol. 359, Springer Berlin Heidelberg, pp. 369–382, ISBN: 978-3-642-38240-6, 2011.
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T.T. Cocias, S.M. Grigorescu, F. Moldoveanu, "On the Application of Voronoi Diagrams and Delaunay Triangulation to 3D Reconstruction",
Bulletin of the Transilvania University of Brașov, vol. 4(53), no. 1, 2011.
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Conference Papers
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T.T. Cocias, F. Moldoveanu, S.M. Grigorescu, "Generic Fitted Primitives (GFP): Towards Full Object Volumetric Reconstruction for Service Robotics",
21st Int. Conf. in Central Europe on Computer Graphics, Visualization and Computer Vision, Plzen, Czech Republic, 2013.
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S.M. Grigorescu, G. Macesanu, T.T. Cocias, F. Moldoveanu, "Stereo Vision-based 3D Camera Pose and Object Structure Estimation: An Application to Service Robotics",
Int. Conference on Computer Vision Theory and Applications, Rome, Italy, 2012.
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T.T. Cocias, S.M. Grigorescu, F. Moldoveanu, "Object Volumetric Estimation Based on Generic Fitted Primitives for Service Robotics",
Int. Conference on Computer Vision Theory and Applications, Rome, Italy, 2012.
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T.T. Cocias, S.M. Grigorescu, F. Moldoveanu, "Multiple-Superquadrics based Object Surface Estimation for Grasping in Service Robotics",
13th Int. Conference on Optimization of Electrical and Electronic Equipment, Brasov, Romania, pp. 1471–1477, 2012.
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T.T. Cocias, S.M. Grigorescu, F. Moldoveanu, "3DOR based Global Pose Estimation for Service Robotics",
Fifth Győr Symposium & First Hungarian-Polish Joint Conference On Computational Intelligence, Győr, Hungary, 2012.
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T.T. Cocias, S.M. Grigorescu, F. Moldoveanu, "On Performance Evaluation of 3D Scene Reconstruction Systems",
20th Int. Workshop on Robotics in Alpe-Adria-Danube Region, Brno, Czech Republic, 2011.
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S.M. Grigorescu, G. Macesanu, T.T. Cocias, F. Moldoveanu, "On the Real-time Modelling of a Robotic Scene Perception and Estimation System",
15th Int. Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania, 2011.
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G. Macesanu, T.T. Cocias, C. Suliman, B. Tarnauca, "Development of GTBoT, a High Performance and Modular Indoor Robot",
AQTR, Cluj-Napoca, Romania, 2010.
PhD Thesis
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T.T. Cocias, "Cercetări privind estimarea volumetrică 3D utilizată în structurile robotice pentru prehensarea obiectelor" — "Research on 3D Object Volumetric Estimation Used in Robotic Grasping" (in Romanian),
Ph.D. dissertation, Universitatea Transilvania din Brașov, Domeniul de doctorat: Ingineria Sistemelor. Scientific supervisor: Prof. dr. ing. Florin Moldoveanu. Defended 11/10/2013.
· Full thesis (PDF)