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Implementing a Kalman Filter in Postgres to Smooth GPS Data
Modern GPS datasets are notoriously noisy: satellites drift, buildings scatter signals, and consumer devices introduce frequent errors. When working with millions of position samples from vehicles, smartphones, or IoT devices, this noise makes analysis unreliable. Routes jump, tr...
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Blog9mo agoHandling Time-Variant DAGs with Constraints in Postgres
Managing dynamically changing directed acyclic graphs (DAGs) with constraints in Postgres enables robust tracking of relationships that evolve over time. At traconiq, this pattern is central to how we manage our vehicle fleet, where trucks and trailers attach and detach constantl...
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Blog8mo ago