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In the past 12 months, we learned a lot about the practical aspects of running a Web 2.5 service interacting with FEVM smart contract via RPC API. What worked well? What are the rough edges that the F…
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Attitude Determination and Estimation using Vector Observations: Review, Challenges and Comparative Results. (arXiv:2001.03787v3 [eess.SY] UPDATED)
https://ift.tt/2Y27s27
This paper concerns the probl…
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State space models are applied broadly across fields including computer science, statistics and engineering, using a wide array of methods for their estimation and inference. Despite the plethora of t…
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While Gaussian models are flexible and tractable, real data often exhibits noise with heavier tails than Gaussian. A popular model for robust estimation is Student's t distribution, e.g. as used in Sl…
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- Stonesoup is a python framework for state estimation and tracking using Kalman and Particle filters.
- Typically stonesoup measurements are iterated over for evaluation.
- Is there any possibilit…
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# High level description
Least squares batch filters and classical Kalman filters are both methods for estimating the state of a dynamic system from noisy measurements. They both use a mathematical…
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This epic will track the pending PRs/issues that will introduce feature updates to `BipedalLocomotion::FloatingBaseEstimators` library relevant to the online base estimation using state of the art fil…
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Currently the velocities are estimated using a Savitsky-Golay filter, which tries to fit (in the least-squares sense) a 2nd-order polynomial to the last N joint position measurements, and then uses th…
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Trackcycle currently isn't as intelligent with dead reckoning as I think it could be. The problem is that it's mostly just checking to see if the angle between its last known trajectory and current tr…
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The main `gEconModel` is currently not jittable and cannot be rewritten as a `jitclass` because of its heavy dependence on sympy.
During estimation, however, I want the main loop of steady state -…