Lane Departure Detection and Early Warning System for Intelligent Vehicles Based on Yolov3 Algorithm
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3210-4_12
Reference12 articles.
1. Son, J., Yoo, H., Kim, S., Sohn, K.: Real-time illumination invariant lane detection for lane departure warning system. Expert Syst. Appl. 42(4), 1816–1824 (2015)
2. Kuo, Y.C., Chang, C.S.: Lane departure warning system based on future driving path prediction. Int. J. Vehicle Safety 7(2), 168 (2014)
3. Faizan, M., Hussain, S., Hayee, M.I.: Design and development of in-vehicle lane departure warning system using standard global positioning system receiver. Transp. Res. Rec. 2673(8), 648–656 (2019)
4. Toan, H., Hyung, H., Husan, V., Kang, P.: Road lane detection by discriminating dashed and solid road lanes using a visible light camera sensor. Sensors 16(8), 1313 (2016)
5. Kumar, S., Yadav, D., Gupta, H., Verma, O.P., Ahn, C.W.: A novel yolov3 algorithm-based deep learning approach for waste segregation: towards smart waste management. Electronics 10(1), 14 (2020)
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