[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.
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May 29, 2024 - C++
[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 Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
ROSE: A LOAM / SLAM package specifically for reducing vertical drift errors in generalized terrains.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI application and comparison on Gazebo and real-world datasets. Installation and config files are provided.
[IROS2022] Robust Real-time LiDAR-inertial Initialization Method.
LiDAR Guide
ECTLO: Effective Continuous-Time Odometry Using Range Image for LiDAR with Small FoV.(IROS2023)
benchmark scripts for LiDAR or LiDAR-inertial odometry research
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Official implementation of the ITSC 2023 paper "LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels"
A probabilistic voxelmap-based LiDAR-Inertial Odometry.
a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
EU Long-term Dataset with Multiple Sensors for Autonomous Driving
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