Technical Sessions
FA3
Machine Vision and Perception 1
Oral,
Room 3 (Burano 2),
09:00-10:30
Moderator: Dr. Claire Nicodeme (SNCF), France
FA3-1
09:00-09:15
A research on scattering removal technology using compact GPU machine for real-time visualization
FA3-2
09:15-09:30
Photon-counting integral imaging using Bayesian estimation with depth camera information
FA3-3
09:30-09:45
Enhancement three-dimensional localization of ArUco marker under photon-starved conditions
FA3-4
09:45-10:00
Utilizing Machine Learning for Predicting the Trajectory of Moving Objects and Implementing a Robot-based Catching Algorithm
FA3-5
10:00-10:15
Building reliable datasets for autonomous vehicles: Data Factory for the industry and intelligent trains.