QD

QUT-Motorsport/QUTMS_Driverless

Welcome to the QUTMS Driverless team repository, used to develop perception, planning and control pipelines in ROS2 for a driverless FSAE racecar

66 6 +0/wk
GitHub
autonomous-vehicles control-systems cpp machine-learning navigation python ros ros2 slam
Trend 0

Star & Fork Trend (15 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

QUT-Motorsport/QUTMS_Driverless has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric QUTMS_Driverless hgboost kektordb vox-serve
Stars 66 666666
Forks 6 1858
Weekly Growth +0 +0+0+0
Language Python PythonGoPython
Sources 1 111
License MIT NOASSERTIONNOASSERTIONApache-2.0

Capability Radar vs hgboost

QUTMS_Driverless
hgboost
Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 45

Fork-to-star ratio: 9.1%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.