PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES

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• Chen, Y., & Boukerche, A. (2020). A Novel Lane Departure Warning System for Improving Road Safety. In ICC 2020-2020 IEEE International Conference on Communications (ICC) (pp. 1-6). IEEE Conference Publishing. https://doi.org/10.1109/ICC40277.2020.9149085

• El Hajjouji, I., Mars, S., Asrih, Z., & El Mourabit, A. (2020). A novel FPGA implementation of hough transform for straight lane detection. Engineering Science and Technology, an International Journal, 23(2), 274-280. https://doi.org/10.1016/j.jestch.2019.05.008

• Feniche, M., & Mazri, T. (2019). Lane detection and tracking for intelligent vehicles: A survey. In 2019 International Conference of Computer Science and Renewable Energies (ICCSRE) (pp. 1-4). IEEE Conference Publishing. https://doi.org/10.1109/ICCSRE.2019.8807727.

• Guan, J., An, F., Zhang, X., Chen, L., & Mattausch, H. J. (2017). Real-time straight-line detection for XGA-size videos by hough transform with parallelized voting procedures. Sensors, 17(2), Article 270. https://doi.org/10.3390/s17020270

• Hwang, S., & Lee, Y., (2016). FPGA-based real-time lane detection for advanced driver assistance systems. In Proceedings of 2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) (pp. 218-219). IEEE Conference Publishing. https://doi.org/10.1109/APCCAS.2016.7803937

• Khongprasongsiri, C., Kumhom, P., Suwansantisuk, W., Chotikawanid, T., Chumpol, S., & Ikura, M. (2018). A hardware implementation for real-time lane detection using high-level synthesis. In 2018 International Workshop on Advanced Image Technology (IWAIT) (pp. 1-4). IEEE Conference Publishing. https://doi.org/10.1109/IWAIT.2018.8369730

• Lee, D. K., Shin, J. S., Jung, J. H., Park, S. J., Oh, S. J., & Lee, I. S. (2017). Real-time lane detection and tracking system using simple filter and Kalman filter. In 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN) (pp. 275-277). IEEE Conference Publishing. https://doi.org/10.1109/ICUFN.2017.7993792

• Lu, X., Song, L., Shen, S., He, K., Yu, S., & Ling, N. (2013). Parallel hough transform-based straight line detection and its FPGA implementation in embedded vision. Sensors, 13(7), 9223-9247. https://doi.org/10.3390/s130709223

• Marzotto, R., Zoratti, P., Bagni, D., Colombari, A., & Murino, V. (2010). A real-time versatile roadway path extraction and tracking on an FPGA platform. Computer Vision and Image Understanding, 114(11), 1164-1179. https://doi.org/10.1016/j.cviu.2010.03.015

• Panda, P. R., Sharma, N., Kurra, S., Bhartia, K. A., & Singh, N. K. (2018). Exploration of loop unroll factors in high level synthesis. In 2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID) (pp. 465-466). IEEE Conference Publishing. https://doi.org/10.1109/VLSID.2018.115

• Promrit, P., & Suntiamorntut, W. (2017, July). Design and development of lane detection based on FPGA. In 2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) (pp. 1-4). IEEE Conference Publishing. https://doi.org/10.1109/JCSSE.2017.8025909

• Solod, P., Sengchuai, K., Booranawong, A., Hoyingcharoen, P., Chumpol, S., Ikura, M., & Jindapetch, N. (2018, October 30 - November 2). Model based design approach for road lane tracking [Paper presentation]. In Asia Pacific Conference on Robot IoT System Development and Platform 2018 (APRIS2018). Prince of Songkla University (PSU) Phuket Campus, Thailand.