Experiments show kinematic priors boost trajectory forecasting, with big gains in small or noisy datasets and modest gains in large-scale settings. https://hackernoon.com/better-steering-with-less-data-kinematic-priors-guide-trajectory-prediction #probabilisticforecasting

This section adds kinematic priors to trajectory forecasting, deriving Gaussian distributions from velocity, acceleration, speed‑heading, and steering. https://hackernoon.com/from-vx-vy-to-d-and-a-the-math-behind-smarter-selfdriving-predictions #probabilisticforecasting

This paper adds analytical kinematic priors for uncertainty across timesteps in trajectory forecasting, boosting performance and stability in traffic tasks. https://hackernoon.com/from-guesswork-to-ground-truth-making-traffic-forecasts-physically-feasible #probabilisticforecasting

For those who were at my sessions at #AgileOpenCanada in Victoria this week, more details on all the things I talked about can be found at the URL below. Topics including #PsychologicalSafety anti-anxiety toolkit, using LEGO to teach technical practices, #CleanLanguage, #SixThinkingHats, #ProbabilisticForecasting getting metrics from Jira, and book recommendations around neuroscience, psychology and hypnosis.
https://gargoylesoftware.com/mike_bowler/followup/ #agile
#agile

In 2023, it shouldn't still be a controversial point to say that per-story estimates are a waste of time and that we should stop doing them. Yet, it still is.
More at https://improvingflow.com/2023/07/08/per-story-estimates.html #agile #ProbabilisticForecasting #estimates