SLAMjärjestelmät
SLAMjärjestelmät, standing for Simultaneous Localization and Mapping, are a class of algorithms that allow a robot or other autonomous agent to build a map of an unknown environment while simultaneously tracking its own position within that map. This is a fundamental problem in robotics and has wide-ranging applications in areas such as autonomous vehicles, drones, and virtual reality.
The core challenge of SLAM lies in the fact that both the map and the robot's pose
SLAM algorithms typically involve two main processes: estimation and data association. The estimation process uses the
Various approaches to SLAM exist, differing in the types of sensors used and the mathematical techniques employed.