Sensors Archivi - Luigi Freda

Luigi Freda

Robotics & Computer Vision Engineer, PhD

luigi 30 October 202331 October 2023 0 Comments 3D reconstruction, augmented reality, computer vision, disaster robotics, drones, image processig, inertial, mapping, open source, perception, place recognition, robotics, self-driving car, sensors, SLAM, visual localization, VR

PLVS code released

I am happy to release the code of my project PLVS. PLVS is a real-time system that leverages sparse RGB-D and Stereo SLAM, volumetric mapping, and

Computer Vision News Perception Posts Robotics Sensors

luigi 2 October 202330 October 2023 0 Comments 3D reconstruction, augmented reality, computer vision, features, image processig, mapping, open source, perception, place recognition, robotics, sensors, SLAM, visual localization

slamplay is available on github

If you love to play with SLAM like me, I shared slamplay on github: https://github.com/luigifreda/slamplay. slamplay is a collection of powerful

Mixed Reality News Posts Sensors VR

luigi 25 May 201921 September 2023 2 Comments 3D reconstruction, augmented reality, computer vision, image processig, mapping, open source, sensors, visual localization, VR

PLVS for Circus Maximus Mixed-Reality Experience

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

Computer Vision News Perception Robotics Sensors

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

Visual Perception and Spatial Computing

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

Business Computer Vision Machine Learning Perception Posts Robotics Sensors

luigi 29 March 2017 0 Comments computer vision, deep-learning, image processig, machine-learning, perception, robotics, self-driving car

Driverless cars that ‘see’ the road ahead

Micheal Milford explains how to make a driverless car see the road ahead. From his Google+ post: “We were asked to

Computer Vision Perception Posts Sensors

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

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

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

Machine Learning Posts Robotics Sensors

luigi 29 March 201729 March 2017 0 Comments business, machine-learning, robotics, self-driving car

Do we need self-driving cars?

This post reports that a self-driving Uber car was involved in a high-speed crash in Tempe, Arizona. No one was

Business Computer Vision Mixed Reality Perception Posts Sensors

luigi 28 September 2016 0 Comments augmented reality, business, computer vision, perception, sensors, SLAM, visual localization

Microsoft HoloLens brings New Vision to Elevator Maintenance of Thyssenkrupp

Using Microsoft HoloLens, 24,000+ service technicians of Thyssenkrupp will be able to visualize and identify problems with elevators ahead of

Perception Posts Robotics Sensors

luigi 28 September 201628 September 2016 0 Comments computer vision, drones, image processig, perception, robotics, sensors

Agile Drone Flight through Narrow Gaps with Onboard Sensing and Computing

From Google+, Davide Scaramuzza presents his last work on perception aware path planning for quadrotors. “I am happy to share

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

Perception Posts Robotics Sensors

luigi 24 August 201624 August 2016 0 Comments mapping, robotics, USAR

Italian Earthquake: Recommendations for using Rescue Robots

On this page Dr. Robin Murphy posted very useful recommendations for using ground and aerial robots for immediate lifesaving. “…A video camera,

Business Computer Vision Perception Posts Robotics Sensors

luigi 22 August 2016 0 Comments business, computer vision, lidar, mapping, perception, robotics, self-driving car, sensor-based motion planning, sensors, SLAM

A Self-Driving Fleet Arrives in Pittsburgh This Month – Uber Steps on the Accelerator

Uber is definitely stepping on the accelerator… “Starting later this month, Uber will allow customers in downtown Pittsburgh to summon

Computer Vision Perception Posts Robotics Sensors

luigi 5 August 2016 0 Comments 3D reconstruction, computer vision, image processig, SLAM, visual localization

Direct Sparse Odometry

A new exciting work from the Computer Vision Group of TUM. “DSO is a novel direct and sparse formulation for

Perception Posts Robotics Sensors

luigi 5 August 2016 0 Comments data analysis, lidar, mapping, perception, robotics

3D Semantic Parsing of Large-Scale Indoor Spaces

“3D sensing has experienced a major progress with the availability of mature technology for scanning large-scale spaces that can reliably

Business Perception Posts Robotics Sensors

luigi 5 August 20165 August 2016 0 Comments business, lidar, mapping, perception, robotics, sensors

Lidar Sensor onto Single Chip

“At MIT’s Photonic Microsystems Group, the authors are developing a lidar-on-a-chip system that is smaller than a dime, has no

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Retweet on Twitter Luigi Freda Retweeted

Zhenjun Zhao @zhenjun_zhao ·

3 Dec

Distributed Global Structure-from-Motion with a Deep Front-End

Ayush Baid, John Lambert, Travis Driver, Akshay Krishnan, Hayk Stepanyan, @fdellaert

tl;dr: deep-learning/classical front-ends+parallelizable and distributable global SfM with GTSAM

https://arxiv.org/pdf/2311.18801.pdf

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Luigi Freda @luigifreda ·

22 Oct

I am happy to share PLVS: A real-time SLAM system with Points, Lines, Volumetric mapping, and Segmentation.
Eprint: https://arxiv.org/abs/2309.10896
Code: https://github.com/luigifreda/plvs
New features: https://github.com/luigifreda/plvs/blob/master/new_features.md
Learn more: https://tinyurl.com/myuwaybx

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