Name: Zhefan Xu
Type: User
Company: Carnegie Mellon University
Bio: Ph.D. Candidate at Carnegie Mellon University (CMU) Working on Robotics.
Location: Pittsburgh, PA, US
Blog: https://zhefanxu.com/
Zhefan Xu's Projects
Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"
Autonomous Flight Package for Various Indoor UAV Tasks (C++/ROS/PX4)
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
[CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)
Toolbox for Reachability Analysis
【deepin源移植】Debian/Ubuntu上最快的QQ/微信安装方式
[IEEE RA-L & ICRA'21] Autonomous UAV Exploration in Dynamic Environment [DEP] (C++/ROS)
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Unofficial cpp implementation of depth-anything model using tensorrt api.
Who am I?
hardware design of the 250mm drone
:zap: A newly designed ultra lightweight anchor free target detection algorithm, weight only 250K parameters, reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
Pytorch Implementation of Deeper Depth Prediction with Fully Convolutional Residual Networks
Easy TOC creation for GitHub README.md
Global Waypoint Planner Library for Autonomous Robots (C++/ROS).
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
history-aware exploration learning planner (HELP)
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
Isaac Gym Reinforcement Learning Environments
The Kalibr visual-inertial calibration toolbox