Found 40 presentations matching your search
Simple intro to Kalman Filter, using a simple 2D example.
it gives the description of kalman filter based methods
This is a method used for robot localization and mappings
Accurate channel quality indicator (CQI) estimation is crucial for optimizing resource allocation, i...
This project addresses the robot localization problem through the implementation of the Extended Kal...
The low inertia characteristic of the power system is increasingly prominent with the increase of wi...
kalman filtering
Active balancing of lithium-ion battery cells. this presentation gives an overview of the circuit to...
Introduction to Particle Filter Sampling Algorithm in PF Bayesian Estimation Monte Carlo Integrat...
Noise Information and Study
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mti radar
Simulation and processing of Infrared images and video on Nvidia Platforms
Field robotics refers to the application of robotic technology in outdoor environments, often in cha...
GTC-2 port automation
Neural computing for passive target tracking
Expectation Maximization (EM) algorithm is a method that is used for finding maximum likelihood or m...
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Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used...
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Introduction Why we need BMS? General function of BMS Block diagram of BMS BMS architecture Battery ...
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