barefoot
A Java library for state-of-the-art online and offline map matching using OpenStreetMap, designed for scalable location-based services.
What is barefoot?
Barefoot is a Java library for map matching that integrates GPS data with OpenStreetMap to reconstruct object paths in real-time or batch modes. It solves the problem of accurately positioning moving objects on a digital map from noisy or sparse GPS measurements, enabling precise location tracking and analysis. The library provides both online (iterative) and offline (full-trace) map matching using a Hidden Markov Model approach.
Developers and engineers building scalable location-based services, fleet management systems, traffic analysis platforms, or any application requiring precise map matching of GPS data. It's particularly suited for teams working with big data frameworks like Apache Spark or Hadoop for spatial data processing.
Developers choose Barefoot for its state-of-the-art map matching algorithms, scalability in distributed environments, and comprehensive spatial toolset—all available as open-source under a business-friendly Apache License. Its ability to handle both real-time and batch processing with stand-alone servers reduces integration complexity.
Overview
Java map matching library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.
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