Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-371-2026
https://doi.org/10.5194/ms-17-371-2026
Research article
 | 
09 Apr 2026
Research article |  | 09 Apr 2026

RIL-YOLO: a lightweight real-time object detection model on mobile devices for kart racing

Ang Sha, Fuen Xue, Yong Zhang, Xiaolin Zang, and Jinying Zhao

Cited articles

Anggrainy, R., Yoga, N. G., Wiyono, A., Putri, D. M., Wahyudi, Z. T., and Septiyan, Y. A.: Unveiling the Future of Safety: Cutting-Edge Simulation Testing of e-Kart Bumpers, J. Phys. Conf. Ser., 012096, https://doi.org/10.1088/1742-6596/2866/1/012096, 2024. 
Chen, C., Li, J., Shuai, Z., Wang, Y., and Wang, Y.: A lightweight optimization framework for real-time pedestrian detection in dense and occluded scenes, Mech. Sci., 16, 877–886, https://doi.org/10.5194/ms-16-877-2025, 2025. 
Chen, J., Kao, S.-h., He, H., Zhuo, W., Wen, S., Lee, C.-H., and Chan, S.-H. G.: Run, don't walk: chasing higher FLOPS for faster neural networks, arXiv [preprint], https://doi.org/10.48550/arXiv.2303.03667, 2023. 
Ding, X., Zhang, X., Han, J., and Ding, G.: Diverse branch block: Building a convolution as an inception-like unit, in: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, 20–25 June 2021, IEEE, 10881–10890, https://doi.org/10.1109/CVPR46437.2021.01074, 2021. 
Kaur, P., Khehra, B. S., and Mavi, E. B. S.: Data augmentation for object detection: A review, in: 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 537–543, https://doi.org/10.1109/MWSCAS47672.2021.9531849, 2021. 
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Short summary
We present a faster and more efficient vision method for detecting objects in high-speed kart racing. We developed an approach to handle blurred images and limited computing power by simplifying the model, enhancing training with realistic motion effects, and carefully removing unnecessary components. Tests show that the method is more accurate, significantly smaller, and runs faster than existing solutions, making it suitable for real-time use on smartphones and other portable devices.
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