Skip to content

Luigi Freda

Robotics & Computer Vision Engineer, PhD

  • Home
  • Research
  • Publications
  • Projects
  • News
  • Blog
  • Teaching
  • Software
  • Links
Computer Vision Posts Robotics 

Stereo ORB-SLAM2 in the EuRoC MAV Dataset

23 April 201625 August 2016 luigi 0 Comments 3D reconstruction, computer vision, dataset, features, mapping, open source, place recognition, SLAM, visual localization


  • ← Movidius is now powering DJI’s autonomous drone
  • OKVIS: Open Keyframe-based Visual Inertial SLAM →

You May Also Like

TRADR Techday 2017

17 January 201822 January 2018 luigi 0

High-Performance and Tunable Stereo Reconstruction

8 June 20168 June 2016 luigi 0

Direct Sparse Odometry

5 August 2016 luigi 0

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

CAPTCHA
Refresh

*

This site uses Akismet to reduce spam. Learn how your comment data is processed.

News About Me

  • My new pySLAM v2 is out!
  • Member of the Program Committee of SAC 2020-IRMAS Track
  • PLVS for Circus Maximus Mixed-Reality Experience
  • Visual Perception and Spatial Computing
  • 3dpatrolling – 3D Multi-Robot Patrolling with a Two-Level Coordination Strategy 

Blog

  • My new pySLAM v2 is out!
  • ROSIntegration for Unreal Engine 4.23
  • PLVS for Circus Maximus Mixed-Reality Experience
  • Visual Perception and Spatial Computing
  • 3dpatrolling – 3D Multi-Robot Patrolling with a Two-Level Coordination Strategy 

Tags

2D to 3D 3D reconstruction augmented reality business CNN computer vision data analysis dataset deep-learning disaster robotics drones energy features gps image processig inertial lidar machine-learning mapping math multi-robot NN open source perception place recognition robotics self-driving car sensor-based motion planning sensors SLAM TRADR UGVs USAR visual localization visual servoing VR

Tweets

Tweets by LuigiFreda

Meta

  • Log in
  • Entries RSS
Copyright © 2023 Luigi Freda. All rights reserved.
Theme: ColorMag by ThemeGrill. Powered by WordPress.