The Accuracy Comparison of Three Simultaneous Localization and Mapping (SLAM)-Based Indoor Mapping Technologies.
Yuwei ChenJian TangChanghui JiangLingli ZhuMatti LehtomäkiHarri KaartinenRisto KaijaluotoYiwu WangJuha HyyppäHannu HyyppäHui ZhouLing PeiRuizhi ChenPublished in: Sensors (2018)
Keyphrases
- simultaneous localization and mapping
- loop closing
- indoor environments
- mobile robot
- outdoor environments
- kalman filter
- particle filter
- information filter
- visual slam
- dynamic environments
- loop closure
- mobile robotics
- extended kalman filter
- data association
- visual odometry
- object and scene recognition
- robot navigation
- map building
- detection and tracking of moving objects
- path planning
- kalman filtering
- real environment
- real time
- topological map
- motion model
- mean shift
- pose estimation
- computational complexity
- learning algorithm