← Search

Andrea Conti

8 accepted papers

2025

ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration

ICCV 2025poster

Time-of-Flight (ToF) sensors provide efficient active depth sensing at relatively low power budgets; among such designs, only very sparse measurements from low-resolution sensors are considered to meet the increasingly limited power constraints of mobile and AR/VR devices. However, such extreme spar…

Cited by 0SourcePDFScholar
2024

Integrated Localization and Communication in 3GPP Industrial Environments

ICASSP 2024accepted

Integrated localization and communication (ILC) will be a key enabler for providing accurate location information and high data rate in next generation networks. This paper proposes a transmission frame structure and a soft information (SI)-based localization algorithm for position-assisted communic…

Cited by 0SourceScholar
2024

LiDAR-Event Stereo Fusion with Hallucinations

ECCV 2024poster

"Event stereo matching is an emerging technique to estimate depth from neuromorphic cameras; however, events are unlikely to trigger in the absence of motion or the presence of large, untextured regions, making the correspondence problem extremely challenging. Purposely, we propose integrating a ste…

2023

Active Stereo Without Pattern Projector

ICCV 2023poster

This paper proposes a novel framework integrating the principles of active stereo in standard passive camera systems without a physical pattern projector. We virtually project a pattern over the left and right images according to the sparse measurements obtained from a depth sensor. Any such devices…

Cited by 11PDFcodeScholar
2023

UWB Localization-of-Things Via Soft Information: Network Experimentation in Indoor Environment

ICASSP 2023accepted

Location awareness is crucial for numerous applications in fifth generation (5G) and beyond ecosystems. Localization-of-things (LoT) via soft information (SI) enables accurate localization, tracking, and navigation of networked nodes. This paper demonstrates real-time SI-based LoT using ultrawideban…

Cited by 0SourceScholar
2022

Unsupervised confidence for LiDAR depth maps and applications

IROS 2022poster

Depth perception is pivotal in many fields, such as robotics and autonomous driving, to name a few. Consequently, depth sensors such as LiDARs rapidly spread in many applications. The 3D point clouds generated by these sensors must often be coupled with an RGB camera to understand the framed scene s…

Cited by 13SourcecodeScholar