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GitHub / 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

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QUT-Motorsport%2FQUTMS_Driverless

Stars: 36
Forks: 4
Open Issues: 2

License: mit
Language: Python
Repo Size: 361 MB
Dependencies: 75

Created: about 3 years ago
Updated: 15 days ago
Last pushed: 15 days ago
Last synced: 15 days ago

Topics: autonomous-vehicles, control-systems, cpp, machine-learning, navigation, python, ros, ros2, slam

Files
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    Readme
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    Dependencies
    .github/workflows/pre_commit.yaml actions
    docker/docker-compose.yml docker
    installation/conda_requirements.txt pypi
    installation/requirements.txt pypi
    pyproject.toml pypi
    src/common/custom_vis/setup.py pypi
    src/common/data_overlay/setup.py pypi
    src/common/driverless_common/setup.py pypi
    src/control/controllers/setup.py pypi
    src/control/path_follower/setup.py pypi
    src/control/steering_testing/setup.py pypi
    src/hardware/sbg_testing/setup.py pypi
    src/control/pure_pursuit/setup.py pypi
    src/machines/jetson_machine/requirements.txt pypi
    src/navigation/planners/setup.py pypi
    src/navigation/py_slam/setup.py pypi
    src/operations/mission_controller/setup.py pypi
    src/operations/terminal_control/setup.py pypi
    src/perception/hsv_thresholder/setup.py pypi
    src/perception/lidar_pipeline/lidar_pipeline/library/cy_library/setup.py pypi
    src/perception/lidar_pipeline/setup.py pypi
    src/perception/vision_pipeline/setup.py pypi
    tools/qutms_cli_tools/pyproject.toml pypi
    tools/qutms_cli_tools/setup.py pypi