Stars
[RA-L 2026] A LiDAR-based aerial exploration framework via coverage path guidance on point cloud maps
[ECCV 2026] Real-Time LiDAR Gaussian Splatting SLAM via Geometry-Aware Covariance Coupling
SuperMap is a living spatial memory for embodied AI — it perceives the world, remembers its evolution, and supports reasoning and action.
Batch-wise extension of Point-LIO: per-~1ms batch EKF update + in-batch de-skew for high-bandwidth, lower-compute LiDAR-inertial odometry (reproduction of Point-LIWO innovation #1).
(ECCV'26) Learning 1-Bit LiDAR-based Localization with Auxiliary Objective
A robust 6-DoF localization framework based on a direct, CPU-based scan-to-map registra- tion pipeline. The system leverages G-EDF, a novel continuous and memory-efficient 3D distance field represe…
[RA-L 2026] R-VoxelMap: Accurate Voxel Mapping with Recursive Plane Fitting for Online LiDAR Odometry
Ultra-Fusion: A Resilient Tightly-Coupled Multi-Sensor Fusion SLAM Framework under Sensor Degradation and Spatiotemporal Perturbation
Adaptive Centroid-based Ground Extraction for Low-Drift LiDAR-Inertial Odometry
KISS-IMU: Self-supervised Inertial Odometry with Motion-balanced Learning and Uncertainty-aware Inference. @ ICRA'26 Award Finalist
Official repo for [CVPR 2026] "UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes"
FAST-LIVO2 with RTK/GNSS-constrained Global Optimization.
A Robust LiDAR-camera Calibration Tool for Large-spot LiDARs.
[ICRA 2026] BEV-Patch-PF: Particle Filtering with BEV-Aerial Feature Matching for Off-Road Geo-Localization
D-LIO: 6DoF Direct LiDAR-Inertial Odometry based on Simultaneous Truncated Distance Field Mapping
[TRO'26] Super4DR: 4D Radar-centric Self-supervised Odometry and Gaussian-based Map Optimization
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
CURL-SLAM: Continuous and Compact LiDAR Mapping
A feed-forward 3D foundation model for reconstructing scenes from streaming data
UMI-3D SLAM and Data Processing Pipeline: https://umi-3d.github.io/
SE(3)-LIO: Smooth IMU Propagation With Jointly Distributed Poses on SE(3) Manifold for Accurate and Robust LiDAR-Inertial Odometry (ICRA 2026)
Memory-Efficient Boundary Map for Large-Scale Occupancy Grid Mapping (IJRR 2026)
Describe Anything, Anywhere, at Any Moment (DAAAM), a novel approach to real-time, large-scale, spatio-temporal memory
This is the code repository for the IEEE-RAL'26 paper "Super LiDAR Intensity for Robotic Perception""
[RA-L 2026] Accurate Calibration and Robust LiDAR-Inertial Odometry for Spinning Actuated LiDAR Systems
Edge deployment guide for InternNav-based perception and navigation on Unitree Go2 / Go2W / B2 robots (ROS 2, RealSense, Python).