An FPGA-based Power-saving Particle Filter Using Dynamic Reconfiguration.
Yuta ImamuraShota FukuiTaito ManabeYuichiro ShibataPublished in: CANDAR (Workshops) (2021)
Keyphrases
- particle filter
- power saving
- dynamic reconfiguration
- application specific
- power consumption
- general purpose
- object tracking
- energy saving
- multi threaded
- visual tracking
- particle filtering
- energy efficiency
- wireless communication
- software systems
- mean shift
- state space
- appearance model
- motion model
- kalman filter
- robust tracking
- state estimation
- software architecture
- multiple hypotheses
- scheduling algorithm
- sequential monte carlo
- energy consumption
- abrupt motion
- rao blackwellized particle filter
- energy efficient
- quality of service
- simultaneous localization and mapping
- frame rate
- file system
- routing protocol
- software engineering
- multi agent systems
- machine learning