56 citations · 61 across the 4 of their papers we have counts for
4 papers
TwistSLAM++: Fusing multiple modalities for accurate dynamic semantic SLAM
Mathieu Gonzalez, Eric Marchand, Amine Kacete +1
Most classical SLAM systems rely on the static scene assumption, which limits their applicability in real world scenarios. Recent SLAM frameworks have been proposed to simultaneous…
TwistSLAM: Constrained SLAM in Dynamic Environment
Mathieu Gonzalez, Eric Marchand, Amine Kacete +1
Classical visual simultaneous localization and mapping (SLAM) algorithms usually assume the environment to be rigid. This assumption limits the applicability of those algorithms as…
S3LAM: Structured Scene SLAM
Mathieu Gonzalez, Eric Marchand, Amine Kacete +1
We propose a new SLAM system that uses the semantic segmentation of objects and structures in the scene. Semantic information is relevant as it contains high level information whic…
L6DNet: Light 6 DoF Network for Robust and Precise Object Pose Estimation with Small Datasets
Mathieu Gonzalez, Amine Kacete, Albert Murienne +1
Estimating the 3D pose of an object is a challenging task that can be considered within augmented reality or robotic applications. In this paper, we propose a novel approach to per…