2016
Autonomous Terrain Classification With Co- and Self-Training Approach
RA-L 2016
Identifying terrain type is crucial to safely operating planetary exploration rovers. Vision-based terrain classifiers, which are typically trained by thousands of labeled images using machine learning methods, have proven to be particularly successful. However, since planetary rovers are to boldly