VAST: Visual and Spectral Terrain Classification in Unstructured Multi-Class Environments
Nathaniel Hanson,Michael Shaham,Deniz Erdoğmuş,Taşkin Padir,Nathaniel Hanson,Michael Shaham,Deniz Erdoğmuş,Taşkin Padir
Terrain classification is a challenging task for robots operating in unstructured environments. Existing classification methods make simplifying assumptions, such as a reduced number of classes, clearly segmentable roads, or good lighting conditions, and focus primarily on one sensor type. These assumptions do not translate well to off-road vehicles, which operate in varying terrain conditions. To...
