อุปกรณ์ต้นแบบสำหรับการตรวจจับช่องทางแบบเรียลไทม์ (Prototype of Real-time Lane Detection Device )

Main Article Content

นราธิป ทองปาน (Narathip Thongpan)
มณเฑียร รัตนศิริวงศ์วุฒิ (Montean Rattanasiriwongwut)
มหศักดิ์ เกตุฉ่ำ (Mahasak Ketchum)

Abstract

The objectives of this research are to develop a prototype of lane detection device and to test the performance of the algorithm developed for real-time lane detection. The image processing techniques including Canny edge detection and Straight-Line Hough Transform were applied in this research. In the performance test, the webcam was utilized to detect the lane in front of the car and the images were processed on the embedded system, then specified the car lane during day time and night time. The research results showed that 1) the device can detect lanes and then correctly specify the traffic lines within the images; 2) regarding the performance test result of the algorithm developed from the test results, it was found that from 10 times of testing, the algorithm can detect the lane lines well.

Article Details

Section
บทความวิจัย

References

Andrade, D.C. (2019). A Novel Strategy for Road Lane Detection and Tracking Based on a
Vehicle’s Forward Monocular Camera. The Proceedings of the IEEE Transactions on
Intelligent Transportation Systems, 20(4), 1497-1507.

Bente, T. F., Szeghalmy, S. and Fazekas, A.(2018). Detection of lanes and traffic signs painted
on road using on-board camera. The Proceedings of the IEEE International Conference
on Future IoT Technologies (Future IoT), Eger., 1-7.

Chen, P. and Jiang, J. (2018). Algorithm Design of Lane Departure Warning System Based on
Image Processing. The Proceedings of the 2nd IEEE Advanced Information
Management, Communicates, Electronic and Automation Control Conference (IMCEC),
Xi'an., 1-2501.

Feng, J., Wu, X. and Zhang, Y.(2018). Lane Detection Base on Deep Learning. The Proceedings of the 11th International Symposium on Computational Intelligence and Design (ISCID), Hangzhou, China, 315-318.

Gupta, T., Sikchi, H. S. and Charkravarty, H. (2018). Robust Lane Detection Using Multiple Features. The Proceedings of the IEEE Intelligent Vehicles Symposium (IV), Changshu, 1470-1475.

Li, Y. and Yang, Z. (2018). Progressive Probabilistic Hough Transform Based Nighttime Lane Line Detection for Micro-Traffic Road. The Proceedings of IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), Tianjin, China, 1276-1281.

Petwal, A. and Hota, M. K. (2018). Computer Vision Based Real Time Lane Departure Warning System. The Proceedings of International Conference on Communication and Signal Processing (ICCSP), Chennai, 0580-0584.

Reichenbach, M., Liebischer, L., Vaas, S. and Fey, D.(2018). Comparison of Lane Detection Algorithms for ADAS Using Embedded Hardware Architectures. The Proceedings of the 2018 Conference on Design and Architectures for Signal and Image Processing (DASIP), Porto, 48-53.

Shirke, S. and Udayakumar, R. (2019). Lane Datasets for Lane Detection. The Proceedings of International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 0792-0796.

VanQuang, N., Heungsuk, K., SeoChang, J., Kwangsuck, B. (2018). A Study on Real-Time Detection Method of Lane and Vehicle for Lane Change Assistant System Using Vision System on Highway. Engineering Science and Technology an International Journal, 21(5), 822-833.

Wang, H., Wang Y., Zhao X., Wang G., Huang, H. and Zhang, J. (2019). Lane Detection of Curving Road for Structural Highway with Straight-Curve Model on Vision. The Proceedings of the IEEE Transactions on Vehicular Technology, 68 (6), 5321-5330.

Yenİaydin, Y. and Schmidt, K. W. (2018). A lane detection algorithm based on reliable lane markings. The Proceedings of Signal Processing and Communications Applications Conference (SIU), Izmir, 1-4.