Stars
Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
(ITSC 2021) Optimising the selection of samples for robust lidar camera calibration. This package estimates the calibration parameters from camera to lidar frame.
A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter
An unfinished camera-imu-lidar tightly coupled simultaneous localization and mapping system.
This is an online calibration system between multiple sensors (camera, lidar, IMU). It is being created. . . . . .
automatic calibration of 3D lidar and IMU extrinsics
CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure
A lightweight version of OrcVIO that uses monocular images, inertial data, as well as bounding box measurements
这是一个deeplabv3-plus-keras的源码,可以用于训练自己的模型。
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Wuxinxiaoshifu / 2D-SLAM-By-Nonlinear-Optimization
Forked from liuzhenboo/2D-SLAM-By-Nonlinear-Optimization基于非线性优化的2Dslam仿真,实践前端数据关联,滑动窗口法,LM优化,FEJ。
多传感器融合,实现定位与建图。working!
A Robust and Versatile Monocular Visual-Inertial State Estimator
基于非线性优化的2Dslam仿真,实践前端数据关联,滑动窗口法,LM优化,FEJ。