Giang Dao's repositories

aerial_gym_simulator

Aerial Gym - IsaacGym Simulator for Aerial Robots

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Awesome-SLAM

A curated list of SLAM resources

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Embedded-Engineering-Roadmap

A roadmap for those who want to build a career as an Embedded Systems Engineer, along with a bunch of learning resources

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FAST-LIO-COLOR-MAPPING

A modified version of FAST-LIO2 that can generate RGB point cloud maps

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FAST-LOCALIZATION

A LiDAR-Inertial localization package based on FAST-LIO2, operating with a known prior map.

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imu_tools

ROS tools for IMU devices

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MR_SLAM

[IEEE T-RO 2023] A modularized multi-robot SLAM system with elevation mapping and a costmap converter for easy navigation. Different odometry and loop closure algorithms can be easily integrated into the system.

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Poly-MOT

Official Repo For IROS 2023 Accepted Paper "Poly-MOT"

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PyRawS

Python for Raw Sentinel-2 data (PyRawS) is an open-source software providing utilities to open and process Sentinel 2 RAW data, which corresponds to a decompressed version of Level-0 data with additional metadata. The software is demonstrated on the first Sentinel-2 dataset containing raw data for warm temperature hotspots detection/classification.

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pyroSAR

framework for large-scale SAR satellite data processing

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RADDet

Range-Azimuth-Doppler Based Radar Object Detection

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RING

[IEEE T-RO 2023] Source code of RING and RING++ for loop closure detection in LiDAR SLAM.

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rviz_visual_tools

C++ API wrapper for displaying shapes and meshes in Rviz

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sarsen

Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors

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SLAM_Evaluation

SLAM evaluation tool (supplement for EVO)

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torch-points3d

Pytorch framework for doing deep learning on point clouds.

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vlma

Visual-Lidar Map Alignment

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vlmaps

[ICRA2023] Implementation of Visual Language Maps for Robot Navigation

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xarray-sentinel

Xarray backend to Copernicus Sentinel-1 satellite data products

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YOLO_ORB_SLAM3_with_pointcloud_map

This code is an extended version of YOLO_ORB_SLAM3, which adds the functionality of creating dense point cloud maps.

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