Publications

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A Racing Dataset and Baseline Model for Track Detection in Autonomous Racing

Published in arXiv preprint arXiv:2502.14068, 2025

RoRaTrack, a multi-camera road-racing dataset with pixel-level track annotations, and RaceGAN, a GAN baseline that outperforms eight state-of-the-art models on it.

Recommended citation: Ghosh, S., Chen, Y. H., Huang, C. H., Jameel, A. S. M. M., Ho, C. C., El Gamal, A., & Labi, S. (2025). "A Racing Dataset and Baseline Model for Track Detection in Autonomous Racing." arXiv preprint arXiv:2502.14068.
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Weighted Branch Aggregation Based Deep Learning Model for Track Detection in Autonomous Racing

Published in The Second Tiny Papers Track at ICLR 2024, 2024

WeBACNN, a lightweight CNN that detects the race track in real time without relying on lane markings, running 47× faster than YOLOv8 with 65% fewer parameters.

Recommended citation: Ghosh, S., Chen, Y. H., Huang, C. H., Jameel, A. S. M. M., El Gamal, A., & Labi, S. (2024). "Weighted branch aggregation based deep learning model for track detection in autonomous racing." The Second Tiny Papers Track at ICLR 2024.
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