The DOI matches its Crossref record; 44 of the 52 references it cites were found in a registry or an index.
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data
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“More recently, only a few multimodal-based multi-stage detection frameworks [191–193] have been developed and have achieved outstanding detection performance on benchmark datasets.”
From A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets (2022) · cites this paper as [192]
Citations
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Self-citation
Flagged first, then by citations
8 of the 52 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Feng, D., Haase-Schutz, C., Rosenbaum, L., Hertlein, H., Glaser, C., Timm, F., Wiesbeck, W., & Dietmayer, K. (2021) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.2972974 · Cited by 1,425
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Multi-Sensor Fusion in Automated Driving: A Survey
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Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review
Fayyad, J., Jaradat, M. A., Gruyer, D., & Najjaran, H. (2020) · Sensors · doi:10.3390/s20154220 · Cited by 559
Bayoudh, K., Knani, R., Hamdaoui, F., & Mtibaa, A. (2022) · The Visual Computer · doi:10.1007/s00371-021-02166-7 · Cited by 456
Metadata
- Authors
- Asvadi, A., Garrote, L., Premebida, C., Peixoto, P., & J. Nunes, U.
- Affiliations
- University of Coimbra (PT)
- Corresponding author
- Asvadi, Alireza
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 115
- Pages
- 20-29
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W2760327656
- Cited by
- 225
- References
- 52
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 28 · 2023: 20 · 2022: 44 · 2021: 43 · 2020: 34 · 2019: 22 · 2018: 7
- FWCI
- 11.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pattern Recognition Letters (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Keywords
- vehicle detection, multimodal fusion, 3D LiDAR, depth images, reflectance map, RGB camera, decision fusion, autonomous vehicles, sensor fusion, bounding box detection, KITTI dataset
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