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HKUST Robotics Institute
- https://peiliangli.github.io/
Stars
A Robust and Versatile Monocular Visual-Inertial State Estimator
An optimization-based multi-sensor state estimator
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
A Collection of Useful C++ Classes for Digital Signal Processing
A ROS package tool to analyze the IMU performance.
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
A collection of GICP-based fast point cloud registration algorithms
Monocular Visual-Inertial State Estimator on Mobile Phones
An Efficient Framework for Fast UAV Exploration
Source code for the paper DM-VIO: Delayed Marginalization Visual-Inertial Odometry
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
A General-Purpose Trajectory Optimizer for Multicopters
Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
Perception and AI components for autonomous mobile robotics.
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
A Framework for the Volumetric Integration of Depth Images
Drivers for receiving LiDAR data and more, support Lidar Mid-40, Mid-70, Tele-15, Horizon, Avia.
Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.
Gradient-Based Online Safe Trajectory Generator
LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.
Accurate Single Stage Detector Using Recurrent Rolling Convolution
Visual-Inertial-Leg Odometry For Legged Robots
Dataset tools for working with the KITTI dataset raw data ( http://www.cvlibs.net/datasets/kitti/raw_data.php ) and converting it to a ROS bag. Also allows a library for direct access to poses, vel…
Implementation of the paper "Safe Trajectory Generation For Complex Urban Environments Using Spatio-temporal Semantic Corridor".
Collaborative Localization for Multiple Monocular Visual-Inertial Systems