Texture descriptors based on co-occurrence matrices
Computer Vision, Graphics, and Image Processing
Filtering for Texture Classification: A Comparative Study
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biologically Inspired Autonomous Rover Control
Autonomous Robots
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This paper presents the SC-MER, Safety Control for Mars Exploration Rover, an innovative traction control scheme for wheeled mobile vehicles. The system is thought to be used on space mission rovers and is based on fuzzy logic and competitive neural networks to achieve optimal navigation on rough terrain with variable morphology. The main goal of this research is to minimize the power consumption needed during the navigation and improve the overall stability and safety of the rover itself.