SemSegMap – 3D Segment-based Semantic Localization
Andrei Cramariuc,Florian Tschopp,Nikhilesh Alatur,Stefan Benz,Tillmann Falck,Marius Brühlmeier,Benjamin Hahn,Juan Nieto,Roland Siegwart,Andrei Cramariuc,Florian Tschopp,Nikhilesh Alatur,Stefan Benz,Tillmann Falck,Marius Brühlmeier,Benjamin Hahn,Juan Nieto,Roland Siegwart
Localization is an essential task for mobile autonomous robotic systems that want to use pre-existing maps or create new ones in the context of SLAM. Today, many robotic platforms are equipped with high-accuracy 3D LiDAR sensors, which allow a geometric mapping, and cameras able to provide semantic cues of the environment. Segment-based mapping and localization have been applied with great success...