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State-Estimation-for-Robotics-and-Computer-Vision

In the assignment 1, a simplified 2D robot is simulated using pyGame in order to estimate state applying Kalman filter algorithm.

In the assignment 2, a simplified 2D robot is simulated using pyGame in order to estimate state applying Particle filter algorithm.

In the assignment 3, Kimera-Semantics is installed and run on the demo rosbag. Kimera-Semantics builds a 3D mesh from the VIO pose estimates, and uses a combination of dense stereo and bundled raycasting.

kimera2_mFC8yfLi.mp4

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