Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study-Reference-Cited by-同舟云学术

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Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study

Published:2023 Issue: Volume: Page:321-335
ISSN:0302-9743
Container-title:AIxIA 2023 – Advances in Artificial Intelligence
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Author:

Barra Silvio^ORCID,Marras Mirko^ORCID,Mohamed Sondos,Podda Alessandro Sebastian^ORCID,Saia Roberto^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-47546-7_22

Reference43 articles.

1. Atzori, A., Barra, S., Carta, S., Fenu, G., Podda, A.S.: HEIMDALL: an AI-based infrastructure for traffic monitoring and anomalies detection. In: 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021, Kassel, Germany, 22–26 March 2021, pp. 154–159. IEEE (2021). https://doi.org/10.1109/PerComWorkshops51409.2021.9431052

2. Atzori, A., Fenu, G., Marras, M.: Explaining bias in deep face recognition via image characteristics. In: IEEE International Joint Conference on Biometrics, IJCB 2022, Abu Dhabi, United Arab Emirates, 10–13 October 2022, pp. 1–10. IEEE (2022). https://doi.org/10.1109/IJCB54206.2022.10007937

3. Atzori, A., Fenu, G., Marras, M.: Demographic bias in low-resolution deep face recognition in the wild. IEEE J. Sel. Top. Signal Process. 17(3), 599–611 (2023). https://doi.org/10.1109/JSTSP.2023.3249485

4. Lecture Notes in Computer Science;R Balia,2021

5. Brazil, G., Liu, X.: M3D-RPN: monocular 3D region proposal network for object detection. In: 2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), 27 October–2 November 2019, pp. 9286–9295. IEEE (2019). https://doi.org/10.1109/ICCV.2019.00938

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RoadSense3D: A Framework for Roadside Monocular 3D Object Detection;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

2. Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

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