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Weibo Huang-Personal's Projects

agile_autonomy icon agile_autonomy

Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"

airsim icon airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

bigraphgan icon bigraphgan

[BMVC 2020 Oral] Bipartite Graph Reasoning GANs for Person Image Generation

breezyslam icon breezyslam

Simple, efficient, open-source package for Simultaneous Localization and Mapping

colmap icon colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

compliant-control-and-application icon compliant-control-and-application

Compliant Control: 1) admittance control algorithm 2) impedance control algorithm 3) hybrid force&position algorithm in robotic arm (Universal Robot).

coslam icon coslam

CoSLAM is a visual SLAM software that aims to use multiple freely moving cameras to simultaneously compute their egomotion and the 3D map of the surrounding scenes in a highly dynamic environment.

cspn icon cspn

Convolutional Spatial Propagation Network

cube_slam icon cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

deepfactors icon deepfactors

Real-Time Probabilistic Dense Monocular SLAM Using Compact Code Representation

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

df-gan icon df-gan

Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis

dronerescue icon dronerescue

This sample demonstrates how to bring AI to edge devices, by using AirSim to generate synthetic training data for a Custom Vision model and then how to deploy the model to edge devices.

dronesimulator icon dronesimulator

Application to simulate the execution of trajectories in aerial drones. Designed and developed to be multiplatform (GNU / Linux, Mac OS X and Windows), fully programmed in C ++ language with a graphic interface in OpenGL. It incorporates complete mathematical models of the drone in the simulation, where the input variables are the speeds of the motors and the output variables are the state of position and orientation of the drone. The control of the position and orientation can be executed with PID and / or fuzzy controllers, in addition to including different saturations to ensure the precise values ​​of the variables. It contains a compilation of several trajectories for the tests, and different disturbances of wind and noise in the sensors to resemble a real behavior. The drone model data is based on the AR.Drone 2.0 device from Parrot. The application allows a real implementation with this robotic platform. The communication uses the ROS libraries in conjunction with the 'ardrone_autonomy' package. The estimation of position and orientation is obtained by mixing the odometry of the 'ardrone_autonomy' package with an external reference provided by the 'ar_track_alvar' package from the main camera.

dsac icon dsac

Code for DSAC (Differentiable RANSAC) for Camera Localization, CVPR 17

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