Rapidly exploring Random Tree algorithm library for ship trajectory planning, written in Rust.
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Updated
Nov 30, 2025 - Rust
Rapidly exploring Random Tree algorithm library for ship trajectory planning, written in Rust.
Research code behind custom SAC, NMPC, VAEs and other stuff for machine-learning based autonomous ship trajectory planning. Developed as part of the Autoship Centre for Research-based Innovation (SFI).
Python bindings for using the C++ based PSBMPC and ship intention models in the colav-simulator
VIMMJIPDA multi-target tracker integrated for use with the colav-simulator
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