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...
Sources
- T1Implementing a Kalman Filter in Postgres to Smooth GPS DataDatabricks / ClickHouse / DuckDB / Supabase / Neon / PlanetScale