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Authors: Onur Eker ; Burak Ercan ; Berkant Bayraktar and Murat Bal

Affiliation: Havelsan Inc., Ankara, Turkey

Keyword(s): 3D Surround View System, Parking Assistance System, Embedded Real-time Panorama Generation, Mesh Video Texture.

Abstract: In recent years, 3D surround view systems started to gain more attention as advanced driver assistance systems (ADAS) become more capable and intelligent. A 3D surround view system provides a 360-degree view of the environment surrounding the vehicle to enable the driver or operator to virtually observe its surroundings in a convenient way. In this paper we propose an end-to-end algorithm pipeline for 3D surround view systems, and show that it works in real-time on embedded devices. The proposed pipeline uses four cameras mounted around a vehicle for image acquisition. First, images are rectified and mapped to a spherical surface to generate 2D panorama view. In mapping step, a low-cost color correction is applied to provide a uniform scene in panorama. Lastly, generated panorama image is projected on a bowl-shaped mesh model to provide 360-degree view of the surrounding environment. The experimental results show that the proposed method works in real-time on desktop computers as wel l as on embedded devices (such as the NVIDIA Xavier); and generates less distorted, visually appealing 360-degree surround view of the vehicle. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Eker, O.; Ercan, B.; Bayraktar, B. and Bal, M. (2022). A Real-time 3D Surround View Pipeline for Embedded Devices. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 257-263. DOI: 10.5220/0010766500003124

@conference{visapp22,
author={Onur Eker. and Burak Ercan. and Berkant Bayraktar. and Murat Bal.},
title={A Real-time 3D Surround View Pipeline for Embedded Devices},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP},
year={2022},
pages={257-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010766500003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP
TI - A Real-time 3D Surround View Pipeline for Embedded Devices
SN - 978-989-758-555-5
IS - 2184-4321
AU - Eker, O.
AU - Ercan, B.
AU - Bayraktar, B.
AU - Bal, M.
PY - 2022
SP - 257
EP - 263
DO - 10.5220/0010766500003124
PB - SciTePress