Difference between revisions of "Saeed Gholami Shahbandi"
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| − | I studied Electrical Engineering at University of Mazandaran in Iran. | + | I studied Electrical Engineering at University of Mazandaran in Iran. I accomplished my BSc studies in “electronics” and “digital design” by “implementation of a convolutional decoder on FPGA”. Following my education I attended a robotic master program (ASP) in Ecole Central de Nantes in France. I participated in Cart-O-Matic robotic group in University of Angers (ISTIA). I joined CAISR at Halmstad University in 2012, working in the AIMS project under supervision of Prof. Verikas, Dr. Åstrand and Dr. Philippsen. My contribution to the project is mainly focused on map analysis and semantic annotation (e.g. structural labels as corridors or local label such as pillars and pallet cells). The objective is to increase the support for awareness of lift-trucks (Automated Guided Vehicles; AGVs) by providing them with an understanding and knowledge of their surrounding environment. My main interests lie in robotics, computer vision and machine learning. |
Revision as of 07:55, 12 January 2017
Saeed Gholami Shahbandi
Family Name: Gholami Shahbandi
Given Name: Saeed
Role:
Title:
Subject: Robotics
Email:
url: http://saeed.im
Phone:
Cell Phone:
I studied Electrical Engineering at University of Mazandaran in Iran. I accomplished my BSc studies in “electronics” and “digital design” by “implementation of a convolutional decoder on FPGA”. Following my education I attended a robotic master program (ASP) in Ecole Central de Nantes in France. I participated in Cart-O-Matic robotic group in University of Angers (ISTIA). I joined CAISR at Halmstad University in 2012, working in the AIMS project under supervision of Prof. Verikas, Dr. Åstrand and Dr. Philippsen. My contribution to the project is mainly focused on map analysis and semantic annotation (e.g. structural labels as corridors or local label such as pillars and pallet cells). The objective is to increase the support for awareness of lift-trucks (Automated Guided Vehicles; AGVs) by providing them with an understanding and knowledge of their surrounding environment. My main interests lie in robotics, computer vision and machine learning.
Subject areas: Robotics, Computer Vision, Machine Learning, Semantic Mapping
Application areas: Intelligent Vehicles
Projects: AIMS
Journal publications registered in DiVA
Saeed Gholami Shahbandi, Martin Magnusson (2018). 2D Map Alignment With Region Decomposition. Autonomous Robots.
Saeed Gholami Shahbandi, Martin Magnusson, Karl Iagnemma (2018). Nonlinear Optimization of Multimodal Two-Dimensional Map Alignment With Application to Prior Knowledge Transfer. IEEE Robotics and Automation Letters. 3(3), pp. 2040-2047
Yuantao Fan, Maytheewat Aramrattana, Saeed Gholami Shahbandi, Hassan Mashad Nemati, Björn Åstrand (2016). Infrastructure Mapping in Well-Structured Environments Using MAV. Lecture Notes in Computer Science. 9716, pp. 116-126
Conference publications registered in DiVA
Martin Magnusson, Tomasz Piotr Kucner, Saeed Gholami Shahbandi, Henrik Andreasson, Achim J. Lilienthal (2017). Semi-Supervised 3D Place Categorisation by Descriptor Clustering. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, Canada, September 24-28, 2017.
Hassan Mashad Nemati, Saeed Gholami Shahbandi, Björn Åstrand (2016). Human Tracking in Occlusion based on Reappearance Event Estimation. 13th International Conference on Informatics in Control, Automation and Robotics, Lisbon, Portugal, 29-31 July, 2016.
Saeed Gholami Shahbandi, Björn Åstrand, Roland Philippsen (2015). Semi-Supervised Semantic Labeling of Adaptive Cell Decomposition Maps in Well-Structured Environments. 7th European Conference on Mobile Robots 2015, Lincoln, United Kingdom, 2-4 September, 2015.
Saeed Gholami Shahbandi, Björn Åstrand, Roland Philippsen (2014). Sensor Based Adaptive Metric-Topological Cell Decomposition Method for Semantic Annotation of Structured Environments. 13th International Conference on Control, Automation, Robotics and Vision, ICARCV 2014, Marina Bay Sands, Singapore, December 10-12, 2014.
Björn Åstrand, Saeed Gholami Shahbandi (2014). Modeling of a Large Structured Environment With a Repetitive Canonical Geometric-Semantic Model. TAROS 2014 Towards Autonomous Robotic Systems.
Björn Åstrand, Saeed Gholami Shahbandi (2014). Modeling of a Large Structured Environment : With a Repetitive Canonical Geometric-Semantic Model. 15th Annual Conference, TAROS (Towards Autonomous Robotic Systems) 2014, Birmingham, United Kingdom, September 1-3, 2014.
Saeed Gholami Shahbandi, Philippe Lucidarme (2012). Object Recognition Based on Radial Basis Function Neural Networks: experiments with RGB-D camera embedded on mobile robots. 1st International Conference on Systems and Computer Science (ICSCS 2012), Lille, France, August 29-31.
