In robotic mapping,
simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. Popular approximate solution methods include the particle filter and extended Kalman filter.
微信扫码咨询专知VIP会员