LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
Particle filter-based localization in an occupancy grid map.
A MNIST-like fashion product database. Benchmark :point_right:
A tracker based on joint probabilistic data association filtering.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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