Leandro de Souza Rosa

• Abstract

  High performance computing is an increasing field in computer sciences since the computational evolution in the last years has created systems that allow the acquisition of big data sets, opening the gap on how to process these data efficiently. Heterogeneous computing shows promising results dealing with such big sets of data by exploring parallel computations and the processors affinity…

  Code snippets identification for pipeline processing in FPGA accelerators for heterogeneous platforms, BP.DD

• Abstract

  Localization and mapping are two of most important capabilities of autonomous mobile robots and an important method for dealing with these problems is the Extended Kalman Filter (EKF - Extended Kalman Filter), which simultaneously maps the environment, estimating a model for this and robot's position. This problem is known in literature as SLAM (simultaneous localization and mapping). In …

  Hw/Sw co-design for fixed point EKF-SLAM, BP.IC
• The extended Kalman filter analysis and implementation on fixed-point arithmetic for mobile robot localization and mapping, BP.IC

(Only some records are available in English at this moment)

• Abstract

  Hardware design space exploration is known as a complex field of study, since application can be implemented in different ways, varying in hardware resources, energy consumption and throughput. This problem becomes even more complex when we consider a reconfigurable hardware based on FPGA to create accelerators from application snippets, where we have a design space exploration nested in …

  Design space exploration on heterogeneous systems for high performance applications, BE.EP.DD

• Abstract

  Location and mapping are two of the most important capabilities of autonomous mobile robots and an important method of dealing with these problems is the Extended Kalman Filter (EKF - Extended Kalman Filter), which simultaneously maps the environment, estimating a map model , and estimates the position of the robot. In contrast, this algorithm, typically implemented using floating point r…

  A fixed-point EKF-SLAM hardware for embedded robotics, BE.EP.IC