Система автоматизированного управления движением транспортных средств на основе распознавания дорожной сцены и ее объектов
- Авторы: Порубов Д.М1, Береснев П.О1, Тюгин Д.Ю1, Тумасов А.В1, Беляков В.В1, Зезюлин Д.В1
-
Учреждения:
- Нижегородский государственный технический университет им. Р.Е. Алексеева
- Выпуск: Том 12, № 1 (2018)
- Страницы: 52-63
- Раздел: Статьи
- URL: https://ogarev-online.ru/2074-0530/article/view/66858
- DOI: https://doi.org/10.17816/2074-0530-66858
- ID: 66858
Цитировать
Полный текст
Аннотация
Полный текст
Открыть статью на сайте журналаОб авторах
Д. М Порубов
Нижегородский государственный технический университет им. Р.Е. Алексеева
Email: dmitry.porubov@nntu.ru
П. О Береснев
Нижегородский государственный технический университет им. Р.Е. Алексеева
Д. Ю Тюгин
Нижегородский государственный технический университет им. Р.Е. Алексеевак.ф.-м.н.
А. В Тумасов
Нижегородский государственный технический университет им. Р.Е. Алексеевак.т.н.
В. В Беляков
Нижегородский государственный технический университет им. Р.Е. Алексеевад.т.н.
Д. В Зезюлин
Нижегородский государственный технический университет им. Р.Е. Алексеевак.т.н.
Список литературы
- On-road Automated Vehicle Standards Committee, 2014. SAE J3016: Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems. SAE International.
- Журнал The journal modern electronics. Режим доступа: https://www.soel.ru/rubrikator/rynok/ (Дата обращения 10.01.2018).
- Hoang, T., Hong, H., Vokhidov, H., Park, K. Road lane detection by discriminating dashed and solid road lanes using a visible light camera sensor // Sensors, 2016, 16, 1313.
- Shanti B., Ganorkar S. Real-time lane detection for driving system using image // Processing. International Research Journal of Engineering and Technology (IRJET), 2015, Volume: 02 Issue.
- Janda F., Pangerl S., Schindler A. A Road Edge Detection Approach for Marked and Unmarked Lanes Based on Video and Radar. // 16th International Conference on Information Fusion, 2013, July 9-12.
- Shojania H. Real time traffic sign detection // Report Project on Fall, 2003.
- de la Escalera, A., Moreno, L., Salichs, M., Armingol, J. M. Road traffic sign detection and classification. Industrial Electronics // IEEE Transactions. 1997. V.6. pp 848 - 859.
- Pydipogu P., Fahim M., Shafique M. Robust lane detection and object tracking in relation to the intelligence transport system // Master’s Thesis Electrical Engineering Signal Processing, 2013.
- Shah V., Maru S., Jhaveri R. An obstacle detection scheme for vehicles in an intelligent transportation system // Int. J. Comput. Netw. Inf. Secur., 2016, vol. 8, no. 10, pp. 23-28.
- Dyczkowski K., Gadecki P., Kułakowski A. Traffic signs recognition system // Proceedings of the World Conference on Soft Computing, San Francisco State University, USA, 2011.
- Sumi K., Arun Kumar M. Detection and recognition of road traffic signs // A Survey. International Journal of Computer Applications, 2017, Volume 160 - No.3.
- Fifik M., Turán J., Ovseník L., Fazekas K. Experiments with a transform based traffic sign recognition system // Proc. of 17th International Conference on Systems Signals and Image Processing IWSSI P2010, 2010, June 17-19. pp. 227-230.
- Xu H., Wang X., Huang H., Wu K., Fang Q. A fast and stable lane detection method based on b-spline curve // Proceedings of the IEEE 10th International Conference on Computer-Aided Industrial Design & Conceptual Design,Wenzhou, China, 2009, 26-29; pp. 1036-1040.
- Li W., Gong X., Wang Y., Liu P.A. Lane marking detection and tracking algorithm based on sub-regions // Proceedings of the International Conference on Informative and Cybernetics for Computational Social Systems, Qingdao, China, 2014, 9-10; pp. 68-73.
- Wang Y., Teoh E., Shen D. Lane detection and tracking using b-snake // Image Vis. Comput., 22, 2004, pp. 269-280.
- Deng J., Kim J., Sin H., Han Y. Fast lane detection based on the B-spline fitting // Int. J. Res. Eng. Tech., 2013, V.2, pp.134-137.
- Tan H., Zhou Y., Zhu Y., Yao D., Li K. A novel curve lane detection based on improved river flow and RANSA // Proceedings of the International Conference on Intelligent Transportation Systems, Qingdao, China, 2014, 8-11; pp. 133-138.
- Zhou S., Jiang Y., Xi J., Gong J., Xiong G., Chen H. A novel lane detection based on geometrical model and Gabor filter. // Proceedings of the IEEE Intelligent Vehicles Symposium, San Diego, CA, USA, 2010, 21-24; pp. 59-64.
- Litkouhi B., Lee A., Craig D. Estimator and controller design for Lanetrak, a vision-based automatic vehicle steering system // Proceedings of the 32nd Conference on Decision and Control, San Antonio, TX, USA, 1993, 15-17; pp. 1868-1873.
- Yoo H., Yang U., Sohn K. Gradient-enhancing conversion for illumination-robust lane detection // IEEE Trans. Intell. Transp. Syst., 2013, 14, 1083-1094.
- Chiu K., Lin S. Lane detection using color-based segmentation // Proceeding of the Intelligent Vehicles Symposium, Las Vegas, NV, USA, 2005, 6-8; pp. 706-711.
- Shin J., Lee E., Kwon K., Lee S. Lane detection algorithm based on top-view image using random sample consensus algorithm and curve road model // Proceedings of the 6th International Conference on Ubiquitous and Future Networks, Shanghai, China, 2014, 8-11; pp. 1-2.
- Lu W., Rodriguez F., Seignez E., Reynaud R. Monocular multi-kernel based lane marking detection // Proceedings of the 4th Annual International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, Hong Kong, China, 2014, 4-7; pp. 123-128.
- Aly M. Real time detection of lane markers in urban streets // Proceedings of the IEEE Intelligent Vehicles Symposium, Eindhoven, 2008, The Netherlands, 4-6; pp. 7-12.
- Li H., Feng M., Wang X. Inverse perspective mapping based urban road markings detection. In Proceedings of the International Conference on Cloud Computing and Intelligent Systems, 2013, Hangzhou, China, 30; pp. 1178-1182.
- Li Z., Cai Z.-X., Xie J., Ren X.-P. Road markings extraction based on threshold segmentation. In Proceedings of the International Conference on Fuzzy Systems and Knowledge Discovery, 2012, Chongqing, China, 29-31; pp. 1924-1928.
- Mu C., Ma X. Lane detection based on object segmentation and piecewise fitting. TELKOMNIKA Indones. J. Electr. Eng., 2014, 12, 3491-3500.
- Máthé K.; Buşoniu L. Vision and control for uavs: a survey of general methods and of inexpensive platforms for infrastructure inspection. Sensors, 2015, 15, 14887-14916.
- Библиотека OpenCV. Режим доступа: https://opencv.org/ (Дата обращения 10.01.2018).
- ГОСТ Р 52290-2004. Технические средства организации дорожного движения. Знаки дорожные. Общие технические требования. Введ. 2006-01-01. М.: Изд-во стандартов, 2004. 118 с.
- Ding, Y., Xu, Z., Zhang, Y., Sun, K. Fast lane detection based on bird’s eye view and improved random sample consensus algorithm // Multimedia Tools and Applications. 2016. 10.1007/s11042-016-4184-6.
- Официальный сайт Группы ГАЗ. Режим доступа: http://gazgroup.ru (Дата обращения 10.01.2018).
Дополнительные файлы
