Particle-Filtering-Based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications.
César DíazVanessa QuinteroAramis PérezFrancisco JaramilloClaudio Burgos-MelladoHeraldo RozasMarcos E. OrchardDoris SáezRoberto CárdenasPublished in: IEEE Trans. Veh. Technol. (2020)
Keyphrases
- particle filtering
- state estimation
- visual tracking
- conditional density
- electric vehicles
- particle filter
- kalman filtering
- contour tracking
- mean shift
- state space
- human motion capture
- appearance model
- human motion
- kalman filter
- bayesian filtering
- video tracking
- human body tracking
- hand tracking
- dynamic bayesian networks
- ego motion estimation
- importance sampling
- reinforcement learning
- image processing
- machine learning
- signal processing
- articulated body
- face recognition
- three dimensional