A Hybrid SLAM approach for autonomous mobile systems (HySLAM_SBO)

In HySLAM,we will investigate the introduction of semantics in SLAM. We will introduce new probabilistic models which are based on scene understanding to increase the conditioning of the SLAM problem. Taking into account the underlying dynamics of the objects, and their effect on the perceptual scene, can help to increase the robustness of the SLAM algorithms. We will demonstrate the efficacy of the algorithm in a 2D and 3D test case.

Keywords:ROBOTICS

Disciplines:Robotic systems architectures and programming

Project type:Collaboration project