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kimera-rpgo

Robust Pose Graph Optimization

kimera-semantics

Real-Time 3D Semantic Reconstruction from 2D data

kimera-vio

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

kimera-vio-ros

ROS wrapper for Kimera-VIO

kiss-icp

A LiDAR odometry pipeline that just works

ldso

DSO with SIM(3) pose graph optimization and loop closure

learnopencv

Learn OpenCV : C++ and Python Examples

let-net

LET-NET: A lightweight CNN network for sparse corners extraction and tracking

lidar_undistortion

Catkin package that provides lidar motion undistortion based on an external 6DoF pose estimation input.

lio-ekf

Maybe the simplest LiDAR-inertial odometry that one can have.

lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

liv_handhold

livox_laser_simulation

A package to provide plug-in for Livox Series LiDAR.

llm_scene_understanding

loam_3d_lidars

This is ROS node for LOAM with OUSTER and VELODYNE

loner

[RA-L 2023] Official Code Release for LONER: LiDAR Only Neural Representations for Real-Time SLAM

ma-lio

Multiple Asynchronous LiDAR Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation

maipp

multi agent informative path planning

mapviz-tile-map-google-maps-satellite

ROS Offline Google Maps for MapViz

mcvio

mcvio_cpu_only

mdso

Multi-Camera Direct Sparse Odometry

megba

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

mlcc

Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras

mms_slam

mobile_aloha_sim

mp2p_icp

Multi primitive-to-primitive (MP2P) ICP algorithms in C++

multi-robot-formation-control-using-deep-reinforcement-learning

A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader agent by keeping track of a certain distance to that leader, avoiding obstacles, and avoiding collision with the other agents.

multi_fastlio

multi_robot_traj_planner

An Efficient Multi-Robot Trajectory Planner for Ground Vehicles.