FB-SSEM-dataset
The FB‑SSEM dataset is a synthetic dataset comprising surround‑view fisheye camera images and BEV (bird’s‑eye‑view) maps generated from simulated ego‑vehicle motion sequences.
Dataset description and usage context
FB-SSEM-dataset
Dataset Overview
FB‑SSEM‑dataset is a synthetic dataset comprising surround‑view fisheye camera images and BEV maps generated from simulated ego‑vehicle motion sequences.
Dataset Contents
- Surround‑view fisheye camera images
- BEV maps
Dataset Purpose
The dataset is used to generate bird’s‑eye‑view (BEV) from surround‑view fisheye camera images, applicable to autonomous driving technologies.
Detailed Information
For more details, refer to the FB‑SSEM_dataset folder in this repository.
Citation
If you find this dataset or related code beneficial to your research, please cite the following paper: bash @article{samani2023f2bev, title={F2BEV: Birds Eye View Generation from Surround-View Fisheye Camera Images for Automated Driving}, author={Samani, Ekta U and Tao, Feng and Dasari, Harshavardhan R and Ding, Sihao and Banerjee, Ashis G}, journal={arXiv preprint arXiv:2303.03651}, year={2023}}
Pair the dataset with AI analysis and content workflows.
Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.