ottffive,Le Jin,github

pvio

Robust and Efficient Visual-Inertial Odometry with Multi-plane Priors

pwc

有代码的论文 Papers with code. Sorted by stars. Updated weekly.

pytorch-deepvo

An Implementation of DeepVO with CNN / CNN-LSTM

quaternion

A brief introduction to the quaternions and its applications to computer graphics.

r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

Preprocessing, coordinate frame calibration, configuration files, and launching procedure used to generate point clouds with Google Cartographer for the RadMAP acquisition system. The RadMAP acquisition system consists of two LIDARS, differential GPS, two Ladybug 360 cameras, and an IMU.

rbx1

ROS By Example Volume 1

recent_slam_research

跟踪SLAM前沿动态

reflector_ekf_slam

laser reflector and EKF

removert

Remove then revert (IROS 2020)

rf2o_laser_odometry

Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach. ICRA 2016 Available at: http://mapir.isa.uma.es/mapirwebsite/index.php/mapir-downloads/papers/217

rgbdslam_v2

RGB-D SLAM for ROS

robustpclreconstruction

Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes

ros-academy-for-beginners

**大学MOOC《机器人操作系统入门》课程代码示例

ros_comm

ROS communications-related packages, including core client libraries (roscpp, rospy, roslisp) and graph introspection tools (rostopic, rosnode, rosservice, rosparam).