Tracking Micro Aerial Vehicles with High Maneuverability and Sudden Rotation in Complex Indoor Environments Using Deep Neural Networks in Three Dimensions based on the Received Signal Strength.
Hooshang AbbaspourMilad HadadnejadGhazal NajafiPublished in: ISNCC (2022)
Keyphrases
- indoor environments
- indoor localization
- neural network
- aerial vehicles
- signal strength
- path planning
- mobile robot
- received signal strength
- location estimation
- localization algorithm
- robotic systems
- multiple targets
- real time
- particle filter
- visual tracking
- fall detection
- base station
- particle filtering
- appearance model
- object tracking