Tien-Thanh Nguyen's repositories
autoware2020-course
Self-Driving Cars with ROS 2 and Autoware
ai4healthcare
Projects from AI for Healthcare Nanodegree Program of Udacity
wasr_network
Adaptation of the WaSR Segmentation Network for Unmanned Surface Vehicles v0.01
deep-reinforcement-learning
Udacity Deep Reinforcement Learning Expert Nanodegree
mader-docker
Docker implementation for Trajectory Planner in Multi-Agent and Dynamic Environments
dave
Project DAVE
deeptam
DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/
docker_scripts
Scripts for dockers set-up
exploration-algorithms
[Docker provided] How to build, install and run open-source exploration algorithms
Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
forces_resilient_planner
External Forces Resilient Safe Motion Planning for Quadrotor
FUEL
Fast UAV Exploration using Incremental Frontier Structure and Hierarchical Planning
mrs_simulation
The ROS part of the "simulation" package.
onewoperday
webapp for challenge one workout per day
pa_powerline_perching
A NLP solver for generating perception-aware powerline perching trajectories for multirotors
panther
Perception-Aware Trajectory Planner in Dynamic Environments
px4_fast_planner
Integration of Fast-Planner with PX4 autopilot for multi-rotor fast navigation with obstacle avoidance
ROSNoeticDocker
This repository contains the necessary elements (code and artifacts) to build a ROS Noetic container suitable to execute GUI applications in Nvidia and non-NVidia docker environments. It includes the possibility to run simulations for the TurtleBot 3 robot and the ARDrone UAV.
simulation
Customize simulation - adapt from MRS
stretch_ros
ROS-related code for the Stretch RE1 mobile manipulator from Hello Robot Inc.
t-thanh.github.io
my blog
uav_scripts
Collection of useful scripts for testing and developing UAV simulation
vision_opencv
ROS package vision_opencv for Ubuntu 18.04 and OpenCV4
wassncplot
WASSncplot is a small tool to plot NetCDF 3D data generated with WASS on top of the original image files