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liyang's Projects

pose_graph_backend icon pose_graph_backend

Multi-agent Pose-Graph Sensor Fusion - from "Multi-robot Coordination with Agent-Server Architecture for Autonomous Navigation in Partially Unknown Environments", IROS 2020

ppp-bayestree icon ppp-bayestree

Code release for "Evaluation of Precise Point Positioning Convergence with an Incremental Graph Optimizer".

pppbox icon pppbox

PPPBox is a set of programs for Precise point positioning.

ppplib icon ppplib

Precise Point Positioning Library

pr2_robot icon pr2_robot

PR2-specific components that are used in bringing up a robot.

ptam-gpl icon ptam-gpl

PTAM (Parallel Tracking and Mapping) re-released under GPLv3.

pyrtklib icon pyrtklib

Processing / plotting of RINEX based GPS & Galileo data

python icon python

All Algorithms implemented in Python

python-can icon python-can

The can package provides controller area network support for Python developers

r-vio icon r-vio

Robocentric Visual-Inertial Odometry (IJRR2019, IROS2018)

r2live icon 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.

r3live icon r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

radpbook icon radpbook

Source code for examples in Book "Robust Adaptive Dynamic Programming"

razor_imu_9dof icon razor_imu_9dof

A ROS driver and firmware to connect to Razor IMU 9DOF (Degree of Freedom) board. This board consists of 3 sensors: magnetic, gyro and acceleration sensor.

research icon research

dataset and code for 2016 paper "Learning a Driving Simulator"

revo icon revo

Robust Edge-based Visual Odometry (REVO)

rio icon rio

RIO - Radar Inertial Odometry and Radar based Ego Velocity Estimation

roboslam icon roboslam

IVALab research efforts on SLAM (Simultaneous Localization and Mapping)

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