loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Abdelrahman Diab ; Mohamed Sabry and Amr El Mougy

Affiliation: Computer Science Department, German University in Cairo, Cairo, Egypt

Keyword(s): Depth Estimation, Monocular Camera, Computer Vision, Image Processing, Deep Neural Networks.

Abstract: Monocular Depth Estimation (MDE) is a fundamental problem in the field of Computer Vision with ongoing developments. For the case of challenging applications such as autonomous driving, where highly accurate results are required in real-time, traditional approaches fall short due to insufficient information to understand the scene geometry. Novel approaches utilizing deep neural networks show significantly improved results, especially in autonomous driving applications. Nevertheless, there now exists a number of promising approaches in literature and their performance has never been compared head-to-head. In this paper, a detailed evaluation of the performance of four selected deep learning networks is presented. We identify a set of metrics to benchmark the selected approaches from different aspects, especially those related to real-time applications. We analyze the results and present insights into the performance levels of the various approaches.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.188.152.162

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Diab, A.; Sabry, M. and El Mougy, A. (2022). Comparing Monocular Camera Depth Estimation Models for Real-time Applications. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 673-680. DOI: 10.5220/0010883700003116

@conference{icaart22,
author={Abdelrahman Diab. and Mohamed Sabry. and Amr {El Mougy}.},
title={Comparing Monocular Camera Depth Estimation Models for Real-time Applications},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2022},
pages={673-680},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010883700003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Comparing Monocular Camera Depth Estimation Models for Real-time Applications
SN - 978-989-758-547-0
IS - 2184-433X
AU - Diab, A.
AU - Sabry, M.
AU - El Mougy, A.
PY - 2022
SP - 673
EP - 680
DO - 10.5220/0010883700003116
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic