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Grid-Based Environment Estimation Using Evidential Mapping and Particle Tracking., , and . IEEE Trans. Intelligent Vehicles, 3 (3): 384-396 (2018)Object tracking based on evidential dynamic occupancy grids in urban environments., , and . Intelligent Vehicles Symposium, page 1064-1070. IEEE, (2017)Spatiotemporal alignment for low-level asynchronous data fusion with radar sensors in grid-based tracking and mapping., and . MFI, page 231-237. IEEE, (2016)Evidential Grid-Based Tracking and Mapping., and . IEEE Trans. Intell. Transp. Syst., 18 (6): 1454-1467 (2017)Grid-Based Object Tracking With Nonlinear Dynamic State and Shape Estimation., , , , and . IEEE Trans. Intell. Transp. Syst., 21 (7): 2874-2893 (2020)Interactive scene prediction for automotive applications., , , , , and . Intelligent Vehicles Symposium, page 1028-1033. IEEE, (2013)Local elevation mapping based on low mounted lidar sensors with narrow vertical field of view., , and . ITSC, page 616-621. IEEE, (2016)Interactive BRDF Estimation for Mixed-Reality Applications., , , and . J. WSCG, 20 (1): 47-56 (2012)Local elevation mapping for automated vehicles using lidar ray geometry and particle filters., , , and . Intelligent Vehicles Symposium, page 481-486. IEEE, (2017)Grid-based mapping and tracking in dynamic environments using a uniform evidential environment representation., , , and . ICRA, page 6090-6095. IEEE, (2014)