SLAM in Agriculture

Abstract

Simultaneous localization and mapping (SLAM) or concurrent mapping and localization (CML) is a computational process by which a robot creates a map of an environment not known in advance, while at the same localizing itself in the environment. SLAM algorithms are essential for autonomous robot navigation, so that the robot can guide itself from a starting position to some destination by locating itself with respect to artificial or natural landmarks that the robot must recognize using its sensors, register in the map, and use as reference locations for future navigation in that environment.