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@IlirAliu_

A full MIT course on visual autonomous navigation. If you work on robotics, drones, or self-driving systems, this one is worth bookmarking‼️ MIT’s Visual Navigation for Autonomous Vehicles course covers the full perception-to-control stack, not just isolated algorithms. What it focuses on: • 2D and 3D vision for navigation • Visual and visual-inertial odometry for state estimation • Place recognition and SLAM for localization and mapping • Trajectory optimization for motion planning • Learning-based perception in geometric settings All material is available publicly, including slides and notes. 📍https://t.co/Wt5mr6NPao If you know other solid resources on vision-based autonomy, feel free to share them. —— Weekly robotics and AI insights. Subscribe free: https://t.co/9Nm01QUcw3

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