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Luigi Freda

Robotics & Computer Vision Engineer, PhD

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

Best Late Breaking Report at SSRR 2016

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

Drones News Perception Robotics Sensors

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

TRADR Team and Vigili del Fuoco in Amatrice

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

News

luigi 5 August 201616 August 2016 0 Comments lidar, mapping, multi-robot, perception, sensor-based motion planning, SLAM, USAR

Third TRADR Joint Exercise in Prague and VREP Simulations

From July 4th to July 8th, I participated to the third TRADR Joint Exercise which took place in Prague (Czech Republic). The full

News

luigi 30 April 201623 March 2017 0 Comments robotics, USAR

TRADR Year 2 Review in Dortmund, Germany

As a member of the ALCOR Lab, I had the pleasure to participate to the TRADR Year 2 review which

News

luigi 29 April 20161 May 2016 0 Comments

@ ALCOR Lab, DIAG

From March 2016 I am a member of the ALCOR Lab, directed by Prof. Fiora Pirri. My work will concern perception

News

luigi 7 April 20161 May 2016 0 Comments

My Website is Now Online

Today my website is online 🙂 See the News page for last news about me Check my Blog for cool news about computer

Retweet on Twitter Luigi Freda Retweeted

Aleksander Holynski @holynski_ ·

15 Sep

Check out our new paper that turns a (single image) => (interactive dynamic scene)!

I’ve had so much fun playing around with this demo.

Try it out yourself on the website: http://generative-dynamics.github.io/

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Retweet on Twitter Luigi Freda Retweeted

Georgios Kopanas @gkopanas ·

4 Sep

The most important factor that determines the quality of a reconstruction is not the actual NeRF variant you are using but rather where you place the cameras.

We give insights on practical ways to solve this problem in realistic environments.

https://arxiv.org/abs/2309.00014

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