CT-VoxelMap achieves more accurate and efficient continuous-time LiDAR-inertial odometry by estimating control point increments on Lie groups, using IMU data to correct B-spline fitting errors online, and managing a probabilistic adaptive voxel map with a re-estimation policy.
Balm: Bundle adjustment for lidar mapping
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RMGS-SLAM delivers real-time multi-sensor 3D Gaussian splatting SLAM with cascaded initialization, Gaussian-based loop closure, and claimed state-of-the-art efficiency, accuracy, and rendering quality on large-scale looped outdoor scenes.
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CT-VoxelMap: Efficient Continuous-Time LiDAR-Inertial Odometry with Probabilistic Adaptive Voxel Mapping
CT-VoxelMap achieves more accurate and efficient continuous-time LiDAR-inertial odometry by estimating control point increments on Lie groups, using IMU data to correct B-spline fitting errors online, and managing a probabilistic adaptive voxel map with a re-estimation policy.
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RMGS-SLAM: Real-time Multi-sensor Gaussian Splatting SLAM
RMGS-SLAM delivers real-time multi-sensor 3D Gaussian splatting SLAM with cascaded initialization, Gaussian-based loop closure, and claimed state-of-the-art efficiency, accuracy, and rendering quality on large-scale looped outdoor scenes.