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  PrjDescription PrjResArea PrjTutor PrjStudMin PrjStudMax
Sensor fusion for autonomous cars This project concerns the logging and use of the data fusion coming from multiple sensor installed in a car. The data are used to generate the decisions and behavior of an autonomous car. MatteoMatteucci
Sound source localization for robots MatteoMatteucci
SprayinWithBrain AI and Robotics in agriculture Robotics MatteoMatteucci
GiulioFontana
Statistical inference for phylogenetic trees The project will focus on the study, implementation, comparison, and analysis of different statistical inference techniques for phylogenetic trees. Phylogenetic trees (1, 2, 3) are evolutionary trees used to represent the relationships between different species with a common ancestor. Typical inference tasks concern the construction of a tree starting from DNA sequences, involving both the choice of the topology of the tree (i.e., model selection) and the values of the parameters (i.e., model fitting). The focus will be a probabilistic description of the tree, given by the introduction of stochastic variables associated to both internal nodes and leaves of the tree. The project will focus on the understanding of the problem and on the implementation of different algorithms, so (C/C++ or Matlab or R) coding will be required. Since the approach will be based on statistical models, the student is supposed to be comfortable with notions that come from probability and statistics courses. The project is thought to be extended to master thesis, according to interesting and novel directions of research that will emerge in the first part of the work. Possible ideas may concern the proposal and implementation of new algorithms, based on recent approaches to phylogenetic inference available in the literature, as in (3) and (4). In this case the thesis requires some extra effort in order to build and consolidate some background in math in oder to understand some recent literature, especially in (mathematical) statistics and, for example, in the emerging field of algebraic statistics (5). Other possible novel applications of phylogenetic trees have been proposed in contexts different from biology, as in (6). Malware (malicious software) is software designed to infiltrate a computer without the owner's informed consent. Often malwares are related to previous programs thought evolutionary relationships, i.e., new malwares appear as small mutations of previous softwares. We are interested in the use of techniques from phylogenetic trees to create a taxonomy of real world malwares. Picture taken from http://www.tolweb.org/tree/ and http://www.blogscienze.com Bibliography # Felsenstein 2003: Inferring Phylogenies # Semple and Steel 2003: Phylogenetics: The mathematics of phylogenetics # Louis J. Billera, Susan P. Holmes and and Karen Vogtmann Geometry of the space of phylogenetic trees. Advances in Applied Math 27, 733-767 (2001) # Evans, S.N. and Speed, T.P. (1993). Invariants of some probability models used in phylogenetic inference. Annals of Statistics 21, 355-377. # Lior Pachter, Bernd Sturmfels 2005, Algebraic Statistics for Computational Biology. # A. Walenstein, E-Md. Karim, A. Lakhotia, and L. Parida. Malware Phylogeny Generation Using Permutations of Code, Journal in Computer Virology, v1.1, 2005. Machine Learning MatteoMatteucci
LuigiMalago
StefanoZanero
1 2
Stimulus tagging using aperiodic visual stimulation in a VEP-based BCI BioSignal Analysis MatteoMatteucci
Triskar The goal of the project is to develop an omnidirectional robot controlled via joypad. Robotics MatteoMatteucci
Triskar+R2P The goal of the project is to build an omnidirectional robot based on existing hardware. MatteoMatteucci
Unmanned Aerial Vehicles Visual Navigation Visual navigation is becoming more and more important in the development of unmanned aerial vehicles (UAV). The goal of this thesis/tesina is to review in a structured way the current state of art in the field from different perspective: research teams, projects, platforms, tasks, algorithms. The latter is the most important aspect obviously and the project should provide a clear view on what is done today, and obtaining which results. Two kind of operations are of most interest: tracking of fixed and mobile targets (and how this impact on the UAV path), navigation on a geo-referenced map. Implementing one of the standard approaches on a mini unmanned aerial vehicle would be the ideal ending of the work to turn it into a thesis. '''''Material:''''' *papers from major journals and conferences *reports from research projects '''''Expected outcome:''''' *a report with a detailed review of the state of the art organized according to the main relevant aspects (to be identified during the work) *an implementation of some state of the art algorithms for tracking or navigation '''''Required skills or skills to be acquired:''''' *proficiency in english *basic understanding of computer vision *basic understanding of filtering techniques Robotics MatteoMatteucci 1 2
Visual stabilization techniques for tracking with a moving camera Target tracking in video sequences can suffer poor performances if the camera is moving (e.g, wind, hand held device, aerial tracking system). The aim of the project is to investigate the state of the art in image stabilization and registration in non static or cluttered scenes. Possible ideas to be investigated include: homography tracking or smoothing, 3D camera motion estimation, image registration and mosicing. As a by product of the work, a tool for the performance evaluation of image stabilization algorithms should be designed. '''Material''' *a huge corpus of literature on the topic *datasets to test the approach upon *C++ library for image processing and computer vision (OpenCV) '''Expected outcome:''' *software for the stabilization of videos from a moving camera showing moving objects in cluttered environments *a tool for the objective evaluation of image stabilization algorithms '''Required skills or skills to be acquired:''' *computer vision and 3D reconstruction *C++ programming under Linux Computer Vision and Image Analysis MatteoMatteucci 1 2
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