8 papers
Why does Deep Learning Improve Visual SLAM?
Giovanni Cioffi, Davide Scaramuzza
Visual SLAM is a well-established technology utilized in a wide range of real-world applications. However, its performance still degrades under challenging visual conditions, such…
Data-Driven Feature Tracking for Event Cameras With and Without Frames
Nico Messikommer, Carter Fang, Mathias Gehrig +2
Because of their high temporal resolution, increased resilience to motion blur, and very sparse output, event cameras have been shown to be ideal for low-latency and low-bandwidth…
HDVIO2.0: Wind and Disturbance Estimation with Hybrid Dynamics VIO
Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza
Visual-inertial odometry (VIO) is widely used for state estimation in autonomous micro aerial vehicles using onboard sensors. Current methods improve VIO by incorporating a model o…
Egocentric Event-Based Vision for Ping Pong Ball Trajectory Prediction
Ivan Alberico, Marco Cannici, Giovanni Cioffi +1
In this paper, we present a real-time egocentric trajectory prediction system for table tennis using event cameras. Unlike standard cameras, which suffer from high latency and moti…
Reading in the Dark with Foveated Event Vision
Carl Brander, Giovanni Cioffi, Nico Messikommer +1
Current smart glasses equipped with RGB cameras struggle to perceive the environment in low-light and high-speed motion scenarios due to motion blur and the limited dynamic range o…
Sight Guide: A Wearable Assistive Perception and Navigation System for the Vision Assistance Race in the Cybathlon 2024
Patrick Pfreundschuh, Giovanni Cioffi, Cornelius von Einem +6
Visually impaired individuals face significant challenges navigating and interacting with unknown situations, particularly in tasks requiring spatial awareness and semantic scene u…