Xin-Liang Zhong (钟心亮)

Master candidate
School of Mechatronic Engineering
Beijing Institute of Technology

Postgraduates' Apartment 2, No. 5 Zhongguancun South Street
Haidian District, Beijing, P.R. China, 100081



I am currently a third-year Master candidate of School of Mechatronic Engineering, Beijing Institute of Technology. My supervisor is Dr. Qingsheng Luo. Prior to that, I received my Bachelor's degree from Beijing Institute of Technology in 2016.

My research interest includes Computer Vision and SLAM.

About me: [Github] [Youtube] [知乎] [Bilibili]

Projects after 2019

A general framework for map-based visual localization. It contains:

1) Map Generation which support traditional features or deeplearning features.
2) Hierarchical-Localizationvisual in visual(points or line) map.
3) Fusion framework with IMU, wheel odom and GPS sensors.

[Project page] [ZhiHu] [Code Sample_0] [Code Sample_1] [Related Video_0] [Related Video_1]

Projects before 2019

A tool used for calibrate 2D laser range finder (LRF) and camera.

The package is used to calibrate a 2D LiDAR or laser range finder(LRF) with a monocular camera. Specficially, Hokuyo UTM-30LX have been suscessfully calibrated against a mono camera.

[Project page] [Code]
A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation

The MSCKF_mono package is a mono version of MSCKF. The software takes in synchronized mono images and IMU messages and generates real-time 6DOF pose estimation of the IMU frame.

[Project page] [Code]
Auto Label Tool for Autonomous Car.

A tool used for automatic label the road sign.

[Project page] [Code]
An offline tool for pose-graph-optimization.

This tool can optimize the pose and eliminate the cumulative error.

[Project page] [Code]
Reconstruction of the scene based on RGBD-Camera.

It is a simple SLAM system based on RGBD-cameras.

DJI Robomasters Summer Camp.

This projects aims to design an autonomous MAV and a mobile robot that can grab the doll and place it in the bucket corresponding to the doll pattern.

[News] [Video]
Research on Real-time Location and Construction of Indoor Mobile Robots.

This robot is equipped by the relevant sensor itself can be in a completely unknown environment situation accurately draw the map of the surrounding environment.

[Docs] [Video]


Awards and Honors