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fangzheng81's Projects

steer_bot icon steer_bot

Simulate a simple Ackermann steering vehicle in Gazebo using ros_control.

suma icon suma

Surfel-based Mapping for 3d Laser Range Data (SuMa)

supereight icon supereight

supereight: a high performance template octree library and a dense volumetric SLAM pipeline implementation

teach-repeat icon teach-repeat

Visual teach and repeat navigation for ground based mobile robots. Code supporting the IROS2021 paper "Fast and Robust Bio-inspired Teach and Repeat Navigation"

teach-repeat-replan icon teach-repeat-replan

Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments

thermal_superpoint_slam icon thermal_superpoint_slam

Codebase for training a thermal SuperPoint network and vocabulary and integrating them with ORB-SLAM2

thesis icon thesis

Autonomous aerial vehicle localization, path planning and navigation towards full and optimal 3D coverage of a known environment

vinet icon vinet

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

vins-mobile icon vins-mobile

Monocular Visual-Inertial State Estimator on Mobile Phones

vins-mono icon vins-mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

visual_odom icon visual_odom

This repository is C++ OpenCV implementation of Stereo Odometry

visualodo icon visualodo

A demonstration of visual odometry for car-like vehicles using a downward looking camera. Please refer to the publications: [1] Navid Nourani-Vatani and Paulo VK Borges, Correlation-based Visual Odometry for Car-like Vehicles, Journal of Field Robotics, September 2011 [2] Navid Nourani-Vatani, Jonathan Roberts and Mandyam V Srinivasan, Practical Visual Odometry for Car-like Vehicles, IEEE International conference on Robotics and Automation, May 2009 [3] Navid Nourani-Vatani, Jonathan Roberts and Mandyam V Srinivasan, IMU-aided Visual Odometry for Car-like Vehicles, Australasian conference on Robotics and Automation, Dec 2008 I would love to hear from you if you are using this software and finding it useful or finding bugs (They say ~10 for every 1000 lines of code, so there are probably about 15-17 of these in there!) You can contact me at [email protected] Enjoy Navid

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