Low-cost indoor positioning system using BLE (bluetooth low energy) based sensor fusion with constrained extended Kalman Filter.
Hyoin BaeJaesung OhKang Kyu LeeJun-Ho OhPublished in: ROBIO (2016)
Keyphrases
- sensor fusion
- extended kalman filter
- low cost
- wifi
- inertial sensors
- mobile robot
- simultaneous localization and mapping
- kalman filter
- real time
- state estimation
- mobile devices
- indoor environments
- kalman filtering
- multi sensor
- estimation accuracy
- target tracking
- monitoring system
- particle filter
- location information
- estimation process
- computer simulation
- back propagation
- dead reckoning
- training algorithm
- smart phones
- dynamic environments
- high resolution
- computer vision
- neural network