Work

Delivering Augmented Reality to the Edge: An Approach Toward Object Recognition through the In-Network Computing Paradigm

Year: 2024

Type: conference-paper

Abstract: Recent advancements in 5G technology have enabled significant breakthroughs in applications requiring high data throughput and low latency, such as Mobile Augmented Reality (MAR). Nevertheless, mobile devices tend to be computationally and energy-constrained, limiting their capability to provide synchronous interactions between the real environment and visual augmentations. Thus, in this work, we propose a collaborative inference method to run compute-intensive AR tasks, such as object recognition, on heterogeneous devices at the network edge. This approach would benefit both end-users and service providers by reducing end-to-end latency and operating costs, respectively.

DOI: 10.1145/3694812.3699933

Authors: Washington R. D. Silva, Fábio L. Verdi, Guilherme M. V. Matos, Andrew Williams

Institutions: Universidade Federal de São Carlos, Ericsson (Sweden)

Language: English

Topic: IoT and Edge/Fog Computing

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Funders: Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Awards: G29316538, G6438247056, G932160542