loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Sander Klomp 1 ; 2 and Peter H. N. de With 1

Affiliations: 1 Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands ; 2 ViNotion B.V., Eindhoven, The Netherlands

Keyword(s): Semantic Segmentation, Deep Learning, Road Segmentation, Path Planning.

Abstract: Finding potential driving paths on unstructured roads is a challenging problem for autonomous driving and robotics applications. Although the rise of autonomous driving has resulted in massive public datasets, most of these datasets focus on urban environments and feature almost exclusively paved roads. To circumvent the problem of limited public datasets of unpaved roads, we combine seven public vehicle-mounted-camera datasets with a very small private dataset and train a neural network to achieve accurate road segmentation on almost any type of road. This trained network vastly outperforms networks trained on individual datasets when validated on our unpaved road datasets, with only a minor performance reduction on the highly challenging public WildDash dataset, which is mostly urban. Finally, we develop an algorithm to robustly transform these road segmentations to road centerlines, used to automatically control a vehicle-mounted PTZ camera.

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 3.133.156.156

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:
Klomp, S. and H. N. de With, P. (2023). Robust Path Planning in the Wild for Automatic Look-Ahead Camera Control. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 553-561. DOI: 10.5220/0011614200003417

@conference{visapp23,
author={Sander Klomp. and Peter {H. N. de With}.},
title={Robust Path Planning in the Wild for Automatic Look-Ahead Camera Control},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={553-561},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011614200003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Robust Path Planning in the Wild for Automatic Look-Ahead Camera Control
SN - 978-989-758-634-7
IS - 2184-4321
AU - Klomp, S.
AU - H. N. de With, P.
PY - 2023
SP - 553
EP - 561
DO - 10.5220/0011614200003417
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