A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
2022-03-03
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2025-09-12T17:47:07Z
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
[IROS2022] Robust Real-time LiDAR-inertial Initialization Method.
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
A simple localization framework that can re-localize in built maps based on FAST-LIO.
[IROS2022] Robust Real-time LiDAR-inertial Initialization Method.
[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.
FAST-LIVO Chinese comments(FAST-LIVO中文注释)
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, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-ICP, ...
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Livox horizon porting for loam
An all-in-one and ready-to-use LiDAR-inertial odometry system for Livox LiDAR
A quickstart and benchmark for pytorch distributed training.
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning implemented in PyTorch
DVL_SLAM_ROS
Library to solve Traveling Salesperson Problems with pure Python code
A Robust and Versatile Monocular Visual-Inertial State Estimator
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