ft-fsd-path-planning
- Software
- Cars
- Library
A Python path planning library for Formula Student driverless cars, computing a driving path from detected cones on the track map.
Source on GitHub: github.com/papalotis/ft-fsd-path-planning (opens in a new tab). Facts read at commit 1eb5ee2 (opens in a new tab).
Licenses
- Code
- MIT (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (MIT) at commit 1eb5ee2 (opens in a new tab), on 22 Oct 2026.
- Commercial use
- Yes
What it does
- Computes a parameterized b-spline path from the car's pose and the positions of cones on the map.
- Can run with cone color information, or with cones of unknown color, or a mix of both.
- Handles a track side that is not visible, such as the inside of a corner, more robustly than common approaches.
- Supports Autocross and Skidpad missions through a mission type setting.
- Outputs path samples with distance along the path, x, y and curvature.
- Ships a demo command and a Streamlit interactive demo, and has an optional Numba-accelerated core.
Written by Robotheca from the project's README (opens in a new tab) at commit 1eb5ee2.
Getting started
- Difficulty
- Intermediate
- Hardware it needs, as the project states it
- Runs in real time on a Jetson Xavier AGX 16GB in MAXN power mode, taking about 10 ms per run with default parameters; the first run takes 30-60 seconds to compile.
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 13 Oct 2026 on main
- Latest release
- None published on GitHub
Checked on GitHub on 22 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.