Reactive obstacle-avoidance controller for the F1Tenth platform using a custom Gap-Follow algorithm. Includes full ROS 2 integration, simulation setup, and validation on obstacle-free and obstacle maps.
The Grand Prix Autonomous Racing Project is a robotics-based system that uses ROS-Noetic to enable an autonomous vehicle to navigate a race track. It combines localization, path planning, and control algorithms to ensure efficient, obstacle-free navigation.
ROS2 trajectory-sampling predictive controller for F1TENTH autonomous racing with raceline tracking and LiDAR-reactive obstacle avoidance.
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