Exploration of the environment in dynamic scenery from partial views
1 Oct 2016– 30 Sep 2019
Cost
35.516mFt
Founded %
100
Recent Simultaneous Localization and Mapping (SLAM) algorithms are basically developed for stable environment in time; dynamic scenes cause strong bias in the localization models. For this reason we will improve the conventional SLAM calculus with statistical optimizing the models of changing parts and their neighborhood connection; this will result in semantic connectedness investigation on the models, which needs good classification methods of the scalable cluster structure.

Department
1111 Budapest, Kende u. 13-17.
Room number
K409-412, K405-406, K413, K305-306, K408
Phone
Members
Email
majdik.andras@sztaki.hun-ren.hu
Phone
+36 1 279 6174
Email
kovacs.andrea@sztaki.hun-ren.hu
Phone
+36 1 279 6158
Sponsor
OTKA NKFIH