Multiclass Terrain Classification using Sound and Vibration from Mobile Robot Terrain Interaction
Jacqueline Libby,Anthony Stentz,Jacqueline Libby,Anthony Stentz
Offroad mobile robot perception systems must be able to learn robust terrain classification models. Models built from computer vision often fail in their ability to generalize to new environments where appearance characteristics change. Sound and vibration signals from robot-terrain interaction can be used to classify the terrain from characteristics that vary less between environments. Previous w...
