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yebo92's Projects

3d_navigation icon 3d_navigation

Global and local path planner plugins for ROS move_base which move the robot in 2D (x,y,angle) but avoid collisions using full 3D data (robot meshes and environment octomap).

alae icon alae

[CVPR2020] Adversarial Latent Autoencoders

am_traj icon am_traj

Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight

asctec_mav_framework icon asctec_mav_framework

Framework for data aquisition and position control to be used with the highlevel processor of Ascending Technologies helicopters

att_ekf icon att_ekf

Extented Kalman Filter for attitude estimation using ROS

autoware icon autoware

Open-source software for urban autonomous driving.

basic_algo icon basic_algo

basic algorithm including image process, quaternion-euler-matrix convert and so on

cadrl_ros icon cadrl_ros

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

carla_simulator_chinese icon carla_simulator_chinese

To build a self driving car simulator for Chinese traffic, which based on intel open source simulator CARLA.

cartographer icon cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

code icon code

Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.

cppprimer icon cppprimer

:books: Solutions for C++ Primer 5th exercises.

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).

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