Towards Depth Perception from Noisy Camera based Sensors for Autonomous Driving

Mena Nagiub; Thorsten Beuth

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Paper

Towards Depth Perception from Noisy Camera based Sensors for Autonomous Driving

Topics: Autonomous Vehicles and Automated Driving; Pattern Recognition for Vehicles; Vehicle Environment Perception; Vision and Image Processing

In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, 198-207, 2022

Authors: Mena Nagiub ¹ and Thorsten Beuth ²

Affiliations: ¹ Valeo Schalter und Sensoren GmbH, Bietigheim-Bissingen, Germany ; ² Valeo Detection Systems GmbH, Bietigheim-Bissingen, Germany

Keyword(s): Monocular Depth Prediction, Dense Depth Completion, Noise, Camera-based Sensors, LIDAR.

Abstract: Autonomous driving systems use depth sensors to create 3D point clouds of the scene. They use 3D point clouds as a building block for other driving algorithms. Depth completion and prediction methods are used to improve depth information and inaccuracy. Accuracy is a cornerstone of automotive safety. This paper studies different depth completion and prediction methods providing an overview of the methods’ accuracies and use cases. The study is limited to low-speed driving scenarios based on standard cameras and Laser sensors.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Nagiub, M. and Beuth, T. (2022). Towards Depth Perception from Noisy Camera based Sensors for Autonomous Driving. In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-573-9; ISSN 2184-495X, SciTePress, pages 198-207. DOI: 10.5220/0010989800003191

@conference{vehits22,
author={Mena Nagiub. and Thorsten Beuth.},
title={Towards Depth Perception from Noisy Camera based Sensors for Autonomous Driving},
booktitle={Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2022},
pages={198-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010989800003191},
isbn={978-989-758-573-9},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Towards Depth Perception from Noisy Camera based Sensors for Autonomous Driving
SN - 978-989-758-573-9
IS - 2184-495X
AU - Nagiub, M.
AU - Beuth, T.
PY - 2022
SP - 198
EP - 207
DO - 10.5220/0010989800003191
PB - SciTePress