MSC-VO: Exploiting Manhattan and Structural Constraints for Visual Odometry
Visual odometry algorithms tend to degrade when facing low-textured scenes —from e.g. human-made environments—, where it is often difficult to find a sufficient number of point features. Alternative geometrical visual cues, such as lines, which can often be found within these scenarios, can become p