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a-loam_note

Advanced implementation of LOAM

carla

Open-source simulator for autonomous driving research.

eskf-gps-imu-fusion

使用误差状态卡尔曼滤波器融合GPS和IMU，实现更高精度的定位

evo

Python package for the evaluation of odometry and SLAM

excavator_simulator_mujoco

A MuJoCo-based simulator for soil digging using an excavator

fast-livo

A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry.

fast_lio_abin

fast_lio_note

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

gps_driver

gps_gpfpd_drive

gps_to_odom

hdl_graph_slam_abin

hdl_graph_slam_gai

hdl_graph_slam_note

3D LIDAR-based Graph SLAM

ignav

integrated navigation for ins and gnss

imu_gps_fuse

imu gps fuse use eskf

imu_to_odom

imu odometry

lili-om

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

lio-mapping_note

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

lio-sam-note

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

lio-sam-noted

localization_robot_infantry

sensors: Consumer GPS, 16 line lidar, Consumer IMU, wheel Odometry

msf_localization

achieve localization by multi-sensor fusion such as GPS,IMU,Lidar

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

range-mcl

Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)

rslidar_to_velodyne

urbannavdataset

UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong

velodyne

ROS support for Velodyne 3D LIDARs

xsens_ros_mti_driver

xsens driver