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wuyou33's Projects

coptersim icon coptersim

A high-fidelity simulation model developed in Simulink that compatible with different types of multicopters.

cosmic icon cosmic

A dynamic cascading outage simulator in power systems

coverage-planning icon coverage-planning

Implementation of the QuickOpp algorithm, as described in "Complete coverage path planning in an agricultural environment"

cpl-sync icon cpl-sync

An implementation of the CPL-Sync algorithm for planar pose graph optimization (PGO)

cpp_uav icon cpp_uav

Coverage path planning package for UAVs

cpp_voc_release4 icon cpp_voc_release4

References: =========== [1] P. Felzenszwalb, R. Girshick, D. McAllester, D. Ramanan. "Object Detection with Discriminatively Trained Part Based Models." IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, No. 9, September 2010. [2] P. Felzenszwalb, etc "Cascade Object Detection with Deformable Part Models" URL: http://people.cs.uchicago.edu/~pff/latent/

cps_multi_agent icon cps_multi_agent

Multi agent simulator where multiple agents learn the behvior of an unknown adversary using language theory constructs (strictly-2-piecewise assumption).

crayfl-public icon crayfl-public

Our public repository for the Crazyflie 2.0 nanoquadcopter from Bitcraze

craz-ject icon craz-ject

Simulation of and implementation of various methods of control for the crazyflie quadcopter

crazyflie-tools icon crazyflie-tools

A collection of tools to develop controllers for the Crazyflie using Drake

crazyflie_nmpc icon crazyflie_nmpc

ROS stack with an efficient real-time NMPC for the Crazyflie 2.1

csc icon csc

Multi-event analysis by Cluster-based Sparse Coding (CSC)

culling icon culling

Implementation of Occlusion and Frustum culling (CPU and GPU)

cvg_ardrone2_ibvs icon cvg_ardrone2_ibvs

We present a vision based control strategy for tracking and following objects using an Unmanned Aerial Vehicle. We have developed an image based visual servoing method that uses only a forward looking camera for tracking and following objects from a multi-rotor UAV, without any dependence on GPS systems. Our proposed method tracks a user specified object continuously while maintaining a fixed distance from the object and also simultaneously keeping it in the center of the image plane. The algorithm is validated using a Parrot AR Drone 2.0 in outdoor conditions while tracking and following people, occlusions and also fast moving objects; showing the robustness of the proposed systems against perturbations and illumination changes. Our experiments show that the system is able to track a great variety of objects present in suburban areas, among others: people, windows, AC machines, cars and plants. urls: http://www.vision4uav.eu/?q=following and http://robotics.asu.edu/ardrone2_ibvs/ .

cvg_quadrotor_swarm icon cvg_quadrotor_swarm

We present a cost-effective framework for the prototyping of vision-based quadrotor multi-robot systems, which core characteristics are: modularity, compatibility with different platforms and being flight-proven. The framework is fully operative, which works in simulation and in real flight tests of up to 5 drones, and was demonstrated with the participation in the 2013 International Micro Air Vehicle Indoor Flight Competition (Toulouse, France).

cyber-based-battery-controller icon cyber-based-battery-controller

This folder contains the codes and data used for papers: Shi, Yuanyuan, Bolun Xu, Yushi Tan, Daniel Kirschen, and Baosen Zhang. "Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings." IEEE Transactions on Automatic Control.

cyclepro icon cyclepro

Sensor-based gait cycle detection framework

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