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)
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
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
X Inertial-aided Visual Odometry
Robotics with GPU computing
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
[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.
A bunch of state estimation algorithms
An Illumination-Robust Point-Line Visual Odometry (IROS 2023)
ROS Hexapod stack with functioning 2D and 3D mapping.
An easy to use and feature-rich PROS template for the Vex V5
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)
ORORA: Outlier-robust radar odometry, which is accepted in ICRA'23
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
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