Exploration of the environment in dynamic scenery from partial views

1 Oct 2016– 30 Sep 2019
Founded %

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. 

Registered scans in gloobal coordinate system; points of actual scans are indicated with red; points of recognized cyclist object indicated with blue