During incremental odometry estimation in robotics and vision applications, the accumulation of estimation error produces a drift in the trajectory. This drift becomes observable when returning to previously visited areas, where it is possible to correct it by applying loop closing techniques. Ultimately a loop closing process leads to an optimisation problem where new constraints between poses...

Skeletofusimotor (beta) motoneurons innervate both extrafusal muscle units and muscle fibers within muscle spindle stretch receptors. By receiving excitation from group Ia muscle spindle afferents and driving the muscle spindle afferents that excite them, they form a positive feedback loop of unknown function. To study it, we developed a computationally efficient model of group Ia afferent beha...

Due to the limitations of LiDAR, such as its high cost, short service life and massive volume, visual sensors with their lightweight low cost are attracting more attention becoming a research hotspot. As hardware computation power deep learning develop by leaps bounds, new methods ideas for dealing simultaneous localization mapping (VSLAM) problems have emerged. This paper systematically review...

We propose a new approach to appearance-based loop detection for mobile robots, using 3D laser scans. Loop detection is an important problem in the SLAM domain, and, because it can be seen as the problem of recognizing previously visited places, it is an example of the data association problem. Without a flat floor assumption, 2D laser-based approaches are bound to fail in many cases. Two of th...

Fasciotomy incisions lead to large, unsightly, chronic wounds after surgical intervention. Classic management was to use split-thickness skin grafts, but this leads to insensate skin with reports that as many as 23% of patients are dissatisfied by the appearance of the wound. Since no skin loss has occurred with the fasciotomy incision, utilizing the dermal properties of creep, stress relaxatio...

according to world health organization, breast cancer is one of the most deadly cancers occurred in women. therefore accurate diagnosis and prediction is important to decrease the high death rate. the aim of this paper is twofold. first, improving breast cancer detection accuracy using modified fuzzy logic (mfl) then improving the performance of mfl algorithm using gpu platform. the experimenta...