Ultra low-power visual odometry for nano-scale unmanned aerial vehicles.
Daniele PalossiAndrea MarongiuLuca BeniniPublished in: DATE (2017)
Keyphrases
- unmanned aerial vehicles
- nano scale
- visual odometry
- ultra low power
- autonomous navigation
- low power
- path planning
- long range
- dynamic environments
- ego motion
- kalman filtering
- mobile robot
- depth images
- position information
- control algorithm
- low cost
- optical flow
- high speed
- simultaneous localization and mapping
- power consumption
- real time
- range data
- human operators
- camera pose
- object recognition
- motion blur
- field of view
- camera motion
- collision avoidance
- robust estimation
- depth information
- pose estimation