TRADR Archivi - Luigi Freda

Luigi Freda

Robotics & Computer Vision Engineer, PhD

luigi 9 February 201912 July 2023 0 Comments computer vision, disaster robotics, lidar, mapping, open source, robotics, sensor-based motion planning, SLAM, TRADR, UGVs, USAR

3Dpatrolling – 3D Multi-Robot Patrolling with a Two-Level Coordination Strategy

I am very excited to release the paper 3D Multi-Robot Patrolling with a Two-Level Coordination Strategy (just appeared in Autonomous Robots) and

News

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

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

Drones News

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

TRADR Techday 2017

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

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

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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