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nonlinear1's Projects

mobile_robot_controllers icon mobile_robot_controllers

The package includes controllers (mainly nonlinear types) for the mobile robot (omni type). Both kinematic and dynamic controllers are implemented. The overall system is based on ROS

modelfusion2 icon modelfusion2

Getting dense reconstruction based on kinfu_large_scale and orbslam2.

mono-sceneflow icon mono-sceneflow

Code was written in 2014. If you can run this code and read the paper of " Richard Newcombe, Live dense reconstruction of a single camera", you will find that initial reconstruction by MSCSRBF is not really neccessary. If you have a good optical flow estimation, combine with some opengl trick, you can implement the dense mono reconstruction by monocular sceneflow algorithm. Besides, I left the interface of PCL's Poinsson Surface Reconstructio inside project so I can compare differences between Sceneflow and Poisson Reconstruction. Meanwhile I tried Liuche's optical flow code, you can compare it with Brox's optical flow. In my opinion, Brox's results should be better if viewpoint changing is obviously.

mono-vo icon mono-vo

An OpenCV based implementation of Monocular Visual Odometry

mono_dense_orb_slam2 icon mono_dense_orb_slam2

This repository is based on[RGBD_ORB_SLAM2_RT] (https://github.com/chaizheng2157/RGBD_ORB_SLAM2_RT). My main contribution is to use depth prediction instead of RGBD camera.

monovo icon monovo

A simple monocular visual odometry

mpc_ros icon mpc_ros

Nonlinear Model Predictive Control on Differential Wheeled Mobile Robot using ROS

mpcc icon mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

mrs_laser_map icon mrs_laser_map

Local Multiresolution Grids for Efficient 3D Laser Mapping and Localization

msckf_mono icon msckf_mono

VIO_Learning. A simple implement of mono msckf in https://github.com/TurtleZhong/msckf_mono/tree/master/src/msckf_mine_1.0

msckf_vio icon msckf_vio

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

mulls icon mulls

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square

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