Open3D: A Modern Library for 3D Data Processing
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Updated
Jun 6, 2024 - C++
Open3D: A Modern Library for 3D Data Processing
loam code noted in Chinese(loam中文注解版)
Robotics with GPU computing
X Inertial-aided Visual Odometry
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
An Illumination-Robust Point-Line Visual Odometry (IROS 2023)
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217
A bunch of state estimation algorithms
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
Semantic LIDAR odometry and mapping for cylinderical objects (e.g. trees in forests)
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
ORORA: Outlier-robust radar odometry, which is accepted in ICRA'23
ROS Hexapod stack with functioning 2D and 3D mapping.
An easy to use and feature-rich PROS template for the Vex V5
SFUISE is a novel continuous-time UWB-inertial state estimation framework based on sliding-window spline fusion.
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