Computer vision in automated parking systems: Design, implementation and challenges
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3D IoU is generally used to evaluate 3D bounding box predictions.
“In general, 3D IoU [18] is used to evaluate 3D bounding box predictions”
From WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving (2019) · cites this paper as [18]
Section 4.6, “A note on accuracy” (p. 11), discusses detection and localisation accuracy for automated parking, but does not identify 3D IoU as an evaluation metric. Searches for 3D IoU, intersection over union, and bounding-box evaluation found no passage addressing the claim. (LLM, conf=0.78)
Experimental — accuracy not yet measured
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WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving
Yogamani, S., Hughes, C., Horgan, J., Sistu, G., Chennupati, S., Uricar, M., Milz, S., Simon, M., Amende, K., Witt, C., et al. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00940 · Cited by 303 · see citing works
“Fisheye is particularly beneficial to automotive low speed manoeuvring scenarios such as parking [21] where accurate full coverage near field sensing can be achieved with just four cameras.”
BackgroundSelf-citationRGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving
El Madawi, K., Rashed, H., El Sallab, A., Nasr, O., Kamel, H., & Yogamani, S. (2019) · 2019 IEEE Intelligent Transportation Systems Conference (ITSC) · doi:10.1109/itsc.2019.8917447 · Cited by 116 · see citing works
Self-citationSoilingNet: Soiling Detection on Automotive Surround-View Cameras
Uricar, M., Krizek, P., Sistu, G., & Yogamani, S. (2019) · 2019 IEEE Intelligent Transportation Systems Conference (ITSC) · doi:10.1109/itsc.2019.8917178 · Cited by 55 · see citing works
Self-citationLet’s Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving
Uricar, M., Sistu, G., Rashed, H., Vobecky, A., Kumar, V. R., Krizek, P., Burger, F., & Yogamani, S. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV) · doi:10.1109/wacv48630.2021.00081 · Cited by 51 · see citing works
Self-citation
- Authors
- Heimberger, M., Horgan, J., Hughes, C., McDonald, J., & Yogamani, S.
- Affiliations
- Valeo (Germany) (DE)
- Valeo (Ireland) (IE)
- Corresponding author
- Yogamani, Senthil
- Venue
- Image and Vision Computing
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 68
- Pages
- 88-101
- ISSN
- 0262-8856 (ISSN-L)
- OpenAlex
- W2744055783
- Cited by
- 126
- References
- 40
- Citations by year
- 2026: 6 · 2025: 15 · 2024: 16 · 2023: 19 · 2022: 16 · 2021: 19 · 2020: 15 · 2019: 15 · 2018: 5
- FWCI
- 6.08
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Image and Vision Computing (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Physical Sciences › Engineering › Building and Construction › Smart Parking Systems Research
- Keywords
- autonomous parking, computer vision, autonomous driving, 3D reconstruction, free space detection, vehicle detection, pedestrian detection, camera systems, functional safety, low-cost systems, sensor fusion, ultrasonic sensors, radar
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