Name: Hao WEN
Type: User
Company: City University of Hong Kong
Bio: A student from the City University of Hong Kong. My research interests include robots, point cloud-based perception, and autonomous driving.
Location: City University of Hong Kong. Tat Chee Avenue. Kowloon Tong
Hao WEN's Projects
Ackerman robot on Gazebo ROS with move_base gmapping SLAM TEB planner
Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"
An open autonomous driving platform
Fork of Apollo 5.0 for LGSVL Simulator
Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
visual tracking paper list
Bezier Trajectory Generation for Autonomous Quadrotor, ICRA 2018
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
A Robust and Efficient Trajectory Planner for Quadrotors
hector_quadrotor contains packages related to modeling, control and simulation of quadrotor UAV systems.
A straightforward C/C++ library to interface with the NVIDIA Jetson TX2 Development Kit GPIO pins.
An open visual-inertial mapping framework.
MAV planning tools using voxblox as the map representation.
MPC in vehicle to track reference trajectory
Forked from OKVIS: https://github.com/ethz-asl/okvis
Forked from ORB-SLAM2: https://github.com/raulmur/ORB_SLAM2
Python Data Science Handbook: full text in Jupyter Notebooks
Python sample codes for robotics algorithms.
Robot simulation of autonomous exploration and mapping by using a topological mapping approach.
Generic and simple controls framework for ROS
Builds 2D signed distance fields from images, 3D signed distance fields from pointclouds, 3D signed distance fields from Octomap, provides a lightweight signed distance field library, message types for signed distance fields, and tools to compress signed distance fields for transport.
A self-driving car simulator built with Unity
Coursera Open Courses from University of Toronto
JUST ...EMMMM.. A curriculum design Project