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Luigi Freda

Robotics & Computer Vision Engineer, PhD

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3D reconstruction

Computer Vision Deep Learning Machine Learning Math News Perception Posts Robotics 

My new pySLAM v2 is out!

7 May 20209 May 2020 luigi 2 Comments 3D reconstruction, augmented reality, CNN, computer vision, deep-learning, features, image processig, machine-learning, mapping, NN, open source, perception, SLAM, visual localization

I am excited to release pySLAM v2. The new version allows you to play with SLAM techniques, visual-odometry, keyframes, bundle-adjustment,

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Mixed Reality News Posts Sensors VR 

PLVS for Circus Maximus Mixed-Reality Experience

25 May 201912 November 2019 luigi 0 Comments 3D reconstruction, augmented reality, computer vision, image processig, mapping, open source, sensors, visual localization, VR

If you are visiting Rome, now you can go to the Circus Maximus and enjoy a great Mixed-Reality experience. An

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Computer Vision News Perception Robotics Sensors 

Visual Perception and Spatial Computing

25 February 201917 July 2019 luigi 0 Comments 3D reconstruction, computer vision, image processig, mapping, open source, sensors, SLAM

On February 2019, I was the teacher of the course Visual Perception and Spatial Computing in the Advanced School of AI. This school

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News 

PLVS: An Open-Source RGB-D and Stereo SLAM for volumetric reconstruction and 3D incremental segmentation

9 September 20181 October 2019 luigi 0 Comments 3D reconstruction, augmented reality, computer vision, image processig, mapping, open source, perception, robotics, sensors, SLAM, TRADR

I am working hard during my free time and having fun with PLVS to finalize the outcoming paper: PLVS: An

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PLVS: An Open-Source RGB-D and Stereo SLAM for volumetric reconstruction and 3D incremental segmentation 

I am working hard during my free time and having fun with PLVS to finalize the outcoming paper: PLVS: An

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Computer Vision News 

@ Inglobe Technologies

13 May 201813 May 2018 luigi 0 Comments 3D reconstruction, augmented reality, computer vision, machine-learning, perception, SLAM, VR

From May 2018 I am Chief Research Officer at Inglobe Technologies. I will lead R&D activities on Computer Vision, Machine

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Drones News 

TRADR Techday 2017

17 January 201822 January 2018 luigi 0 Comments 3D reconstruction, computer vision, drones, lidar, mapping, multi-robot, robotics, sensor-based motion planning, sensors, TRADR, UGVs, USAR

On November 17 2017, I was a member of the crew who organized the TRADR Technology Day. More than 60

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News 

Fourth TRADR Evaluation Exercise in Rotterdam with GB Firefighters

21 November 201725 January 2018 luigi 0 Comments 3D reconstruction, mapping, multi-robot, perception, robotics, self-driving car, sensor-based motion planning, SLAM

From November 6th to November 17th, I took part to the fourth TRADR Evaluation Exercise in Rotterdam. The full TRADR system was evaluated by the GB firefighters end-users

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Drones News Robotics 

TRADR on EuroNews

10 April 201717 January 2018 luigi 0 Comments 3D reconstruction, computer vision, disaster robotics, drones, image processig, mapping, perception, robotics, sensor-based motion planning, SLAM

The TRADR EU project is on Euronews. The video report shows the simulated disaster scene we used in the last

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Computer Vision Machine Learning Perception Posts 

CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

8 April 201721 November 2017 luigi 0 Comments 3D reconstruction, computer vision, deep-learning, machine-learning, mapping, perception, SLAM, visual localization

In this page, the Authors K. Tateno, F. Tombari, I. Laina and N. Navab present the following paper in which CNNs are used

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Computer Vision Machine Learning Perception Posts 

Hand-Crafted Features or Learned Local Features?

8 April 20178 April 2017 luigi 0 Comments 3D reconstruction, computer vision, data analysis, deep-learning, machine-learning, perception

In this post, Torsten Sattler presents his upcoming CVPR 2017 paper “Comparative Evaluation of Hand-Crafted and Learned Local Features” You

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Computer Vision Perception Posts Sensors 

RGBDTAM: A Cost-Effective and Accurate RGB-D Tracking and Mapping System

29 March 201729 March 2017 luigi 0 Comments 3D reconstruction, computer vision, image processig, open source, SLAM, visual localization

In this post, Alejo Concha Belenguer presents his new work RGBDTAM. This is a direct SLAM pipeline that runs in real-time and

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News 

TRADR Year 3 Review in Montelibretti – Work Package 4 Obtained an Excellent Evaluation

23 March 20174 April 2017 luigi 0 Comments 3D reconstruction, disaster robotics, mapping, multi-robot, robotics, sensor-based motion planning, USAR

This year, the TRADR review took place at the Scuola Di Formazione Operativa of Vigili del Fuoco (Italian Firefighters) in

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News 

Best Late Breaking Report at SSRR 2016

27 October 201623 March 2017 luigi 0 Comments 3D reconstruction, computer vision, mapping, perception, robotics, sensor-based motion planning, sensors, SLAM

Our recent work with ETHZ was awarded Best Late Breaking Report at SSRR 2016 “3D Localization, Mapping and Path Planning for

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Drones News Perception Robotics Sensors 

TRADR Team and Vigili del Fuoco in Amatrice

6 September 201610 September 2016 luigi 0 Comments 3D reconstruction, disaster robotics, drones, lidar, multi-robot, robotics, TRADR, UGVs, USAR

It was a great life experience being part of the TRADR team who successfully deployed two UGVs and three drones

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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

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