FastSECOND: Real-Time 3D Detection via Swin-Transformer Enhanced SECOND with Geometry-Aware Learning
The inherent limitations of 2D object detection, such as inadequate spatial reasoning and susceptibility to environmental occlusions, pose significant risks to the safety and reliability of autonomous driving systems. To addr... | Find, read and cite all the research you need on Tech Science Press
Authors
- X. Z. Li (ORCID: https://orcid.org/0009-0009-1594-6361)
- Pengfei Shi (ORCID: https://orcid.org/0000-0002-4467-7641)
- Xinyang Chen (ORCID: https://orcid.org/0000-0001-6743-838X)
- Jin Wan (ORCID: https://orcid.org/0000-0001-9767-9360)
- Xinnan Fan (ORCID: https://orcid.org/0009-0002-1061-3209)
- Gang Wan (ORCID: https://orcid.org/0000-0001-6179-405X)
- Liyue Qie
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.064775
- Citations
- 1
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.24