Funded research

  • Inertial Object Tracking

      ------------------------------------------------------------------------------       .... Learning Topological Maps for Pedestrian Localization B. Zha and A. Yilmaz. Learning Maps for Object Localization using Visual-Inertial Odometry. 2020... | LEARN MORE

  • Deep Learning Related Projects

    B. Zha, M. T. Koroglu and A. Yilmaz. Trajectory Mining for Localization using Recurrent Neural Network. 2019 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, 2019, pp. 1-4. J. Wei, M. T. Koroglu, B. | LEARN MORE

  • Visual Object Tracking

    .... Contour Tracking N. Gard and A. Yilmaz. April 2019. A Spacetime Model for One-shot Active Contour Extraction Scheme for Human Detection in Image Sequences. Elsevier Journal of Applied Mathematics and Computation    A. Yilmaz. 2009. Active Contours: Snakes. | LEARN MORE

  • Map Based Localization

    Given the topological representation of map G which contains finite nodes V and edges E, hence it is practical to assign a unique id to each edge. When the trajectory is generated by other methods, such as inertial sensor or visual sensor, a sequence... | LEARN MORE

  • Reinforcement Learning For Localization and Navigation

    Bing please update this page   . | LEARN MORE

  • Sensor Fusion

    .... Structured Light Y. Zhang and A. Yilmaz, “Structured light based 3D scanning for specular surface by the combination of gray code and phase shifting,” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. | LEARN MORE

  • Multiple View Geometry

    .... Object Recognition P. Srestasathiern and A. Yilmaz, "View invariant object recognition," 2008 19th International Conference on Pattern Recognition, Tampa, FL, 2008, pp. 1-4. .... Action Recognition A. Yilmaz and M. Shah, "Recognizing human actions... | LEARN MORE

Links to all the projects