Author:
Luo Yuechen,Ci Yusheng,Jiang Shixin,Wei Xiaoli
Funder
Natural Science Foundation of Heilongjiang Province of China
Publisher
Springer Science and Business Media LLC
Reference42 articles.
1. Artamonov, N.S., Yakimov, P.Y.: Towards real-time traffic sign recognition via YOLO on a mobile GPU. J. Phys. Conf. Ser. 1096, 012086 (2018). https://doi.org/10.1088/1742-6596/1096/1/012086
2. Bahlmann, C., Zhu, Y., Visvanathan, R., Pellkofer, M., Koehler, T.: A system for traffic sign detection, tracking, and recognition using color, shape, and motion information. Paper presented at the IEEE Proceedings. Intelligent Vehicles Symposium. (2005)
3. Chakravarthy, K.K., Krishna, M.V.: Color objects detection in real-time with raspberry Pi and image processing. SAMRIDDHI 13(01), 5–7 (2021)
4. Girshick, R.: Fast r-cnn. Paper presented at the Proceedings of the IEEE international conference on computer vision (2015)
5. Gunnarsson, A.: Real time object detection on a Raspberry Pi. In (2019)