SEIF SLAM
Encyclopedia
In robotics
, the SEIF SLAM is the use of the sparse extended information filter (SEIF) to solve the simultaneous localization and mapping
by maintaining a posterior over the robot pose and the map. Similar to GraphSLAM
, the SEIF SLAM solves the SLAM problem fully, but is an online algorithm (GraphSLAM is offline).
Robotics
Robotics is the branch of technology that deals with the design, construction, operation, structural disposition, manufacture and application of robots...
, the SEIF SLAM is the use of the sparse extended information filter (SEIF) to solve the simultaneous localization and mapping
Simultaneous localization and mapping
Simultaneous localization and mapping is a technique used by robots and autonomous vehicles to build up a map within an unknown environment , or to update a map within a known environment , while at the same time keeping track of their current location.- Operational definition :Maps are used...
by maintaining a posterior over the robot pose and the map. Similar to GraphSLAM
GraphSLAM
In robotics, GraphSLAM is a Simultaneous localization and mapping algorithm which uses sparse information matrices produced by generating a graph of observation interdependencies ....
, the SEIF SLAM solves the SLAM problem fully, but is an online algorithm (GraphSLAM is offline).