Object GeoTracking

Related Papers

  1. J. Wei, G. Xu, and A. Yilmaz. October 2021. DeepTracks: Geopositioning Maritime Vehicles in Video Acquired from a Moving Platform. IEEE Sensors Conference.
  2. Y. Han, A. Yilmaz. July 2021. Dynamic routing for navigation in changing unknown maps using deep reinforcement learning. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2021, 145–150, https://doi.org/10.5194/isprs-annals-V-1-2021-145-2021, 2021.
  3. J. Wei, J. Jiang, A. Yilmaz. July 2021. MOHE-Net: Monocular object height estimation network using deep learning and scene geometry. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. Nice, France.
  4. J. Wei, J. Jiang, A. Yilmaz. July 2021. MBS-Net: a moving-camera background subtraction network for autonomous driving. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. Nice, France.
  5. B. Zha and A. Yilmaz. January 2021. Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories. International Conf. on Computer Vision (ICPR). Milan Italy
  6. B. Zha and A. Yilmaz. August 2020. Learning Maps for Object Localization using Visual-Inertial Odometry. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2020, 343–350. Nice, France. https://doi.org/10.5194/isprs-annals-V-1-2020-343-2020
  7. M. Yang, Y. Lyu; G. Vosselman; G.S. Xia; A. Yilmaz. July 2020. UAVid: A Semantic Segmentation Dataset for UAV Imagery. ISPRS Journal of Photogrammetry and Remote Sensing. Volume 165, Pages 108-119. https://doi.org/10.1016/j.isprsjprs.2020.05.009
  8. B. Zha, M. T. Koroglu and A. Yilmaz. Trajectory Mining for Localization using Recurrent Neural Network. December Int. Conf. on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, pp. 1-4.
  9. J. Wei, M. T. Koroglu, B. Zha and A. Yilmaz. Pedestrian localization on topological maps with neural machine translation network. IEEE SENSORS, Montreal, Canada, 2019, pp. 1-4.
  10. M. T. Koroglu, M. Korkmaz, A. Yilmaz and A. Durdu. Multiple hypothesis testing approach to pedestrian inertial navigation. IEEE Indoor Positioning Indoor Navigation Conference (IPIN), Pisa, Italy, 2019, pp. 1-8.
  11. M. T. Koroglu, A. Yilmaz and C. J. Saul. A Deep Learning Strategy for Stride Detection. 2018 IEEE SENSORS, New Delhi, 2018, pp. 1-4.
  12. M. T. Koroglu and A. Yilmaz. Pedestrian inertial navigation via non-recursive Bayesian map-matching. 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 2018, pp. 1909-1914.
  13. G. Barsai, A. Yilmaz, S. Nagarajan, P. Srestasathiern. October 2017. Registration of Images to Lidar And GIS Data Without Establishing Explicit Correspondences. Photogrammetric Engineering & Remote Sensing. Vol 83. No 10. Pp 705-716. https://doi.org/10.14358/PERS.83.10.705 (ASPRS ESRI award recipient)
  14. S. HosseinyAlamdary and A. Yilmaz. March 2017. A Bayesian Approach to Traffic Light Detection and Mapping. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 125, pp 184-192. https://doi.org/10.1016/j.isprsjprs.2017.01.008
  15. Y. Ye and A. Yilmaz. 11/2017. Generating Road Maps Automatically from Aerial Images. Autonomous GIS Workshop at the 25th ACM SIGSPATIAL. Redondo Beach, CA
  16. M. T. Koroglu and A. Yilmaz. Pedestrian inertial navigation with building floor plans for indoor environments via non-recursive Bayesian filtering. 2017 IEEE SENSORS, Glasgow, 2017, pp. 1-3.