Smart Driving Assistance Using Deep Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50993-3_32
Reference8 articles.
1. Dhar, P., Abedin, M.Z., Biswas, T., Datta, A.: Traffic sign detection - a new approach and recognition using convolution neural network. In: IEEE Region 10 Humanitarian Technology Conference, pp. 416–419 (2017)
2. Ying, Z., Li, G.: Robust lane marking detection using boundary-based inverse perspective mapping. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1921) (2016)
3. Ko, Y., Lee, Y., Azam, S., Munir, F., Jeon, M., Pedrycz, W.: Key points estimation and point instance segmentation approach for lane detection. IEEE Trans. Intell. Transp. Syst. 23, 8949–8958 (2021)
4. Sanyal, B., Padhy, A., Mohapatra, R.K., Dash, R.: Real-time Indian TSR using MDEffNet. In: 2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP), pp. 1–5 (2022)
5. Sun, Y., Ge, P., Liu, D.: Traffic sign detection and recognition based on convolutional neural network. Chinese Automation Congress (CAC), pp. 2851–2854 (2019)
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