A Multi-Sensorial Simultaneous Localization and Mapping (SLAM) System for Low-Cost Micro Aerial Vehicles in GPS-Denied Environments.
Elena López GuillénSergio GarcíaRafael BareaLuis Miguel BergasaEduardo J. MolinosRoberto ArroyoEduardo RomeraSamuel PardoPublished in: Sensors (2017)
Keyphrases
- simultaneous localization and mapping
- dynamic environments
- aerial vehicles
- mobile robot
- path planning
- visual slam
- information filter
- kalman filter
- real environment
- mobile robotics
- loop closing
- indoor environments
- data association
- particle filter
- extended kalman filter
- visual odometry
- map building
- multiple targets
- robot navigation
- autonomous robots
- robotic systems
- topological map
- object and scene recognition
- unmanned aerial vehicles
- augmented reality
- multi robot
- visual tracking
- vision system
- dynamic programming
- real time