PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Lane Departure Detection and Transmisson using Hough Transform Method

Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
PL
Zastosowanie transformacji Hough w detekcji wyjazdu z pasa i transmisji danych
Języki publikacji
EN
Abstrakty
EN
Vehicles need to be re-advancing by video transmission among vehicles for safety and cooperative deriving. The video images captured from camera could help the driver to monitor the surroundings as well as transmit the compressed images over vehicular communication network. Video over wireless communication has a lot of potential applications in intelligent transportation systems (ITS).Video streaming utilizes high bandwidth data links to transmit information. The high-bandwidth systems required larger equipment, better line-of-sight, and more complex mechanism for reliable transmit ion over the network. The intended platform for the system described in this study, is to develop a software defined algorithm for automatic video compression and transmission. The proposed algorithm is able to robustly find the left and right boundary of the lane using Hough Transform method and transmit over the network. Therefore the limitations of high-bandwidth equipment become more significant in a tactical scenario. The results show that the proposed method works well on marked roads and transmission in various lighting conditions.
PL
W artykule przedstawiono algorytm kompresji i transmisji obrazów do zastosowania w komunikacji bezprzewodowej w sieci samochodowej. Przy pomocy transformacji Hough algorytm określa lewą i prawą granicę pasa i przesyła dane do sieci. Przeprowadzono badania weryfikujące działanie algorytmu, które wykazały jego skuteczność na oznaczonych drogach przy różnych warunkach oświetlenia.
Rocznik
Strony
141--146
Opis fizyczny
Bibliogr. 17 poz., rys., tab., wykr.
Twórcy
autor
  • Universiti Kebangsaan Malaysia
autor
  • Universiti Kebangsaan Malaysia
Bibliografia
  • [1] Seonyoung L., Haengseon S., Kyungwon M. Implementation of lane detection system using optimized hough transform circuit, 2010 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 406-409.
  • [2] Jia H., Hui R., Jinfeng G., Wei H.A Lane Detection Method for Lane Departure Warning System, International Conference on Optoelectronics and Image Processing (ICOIP), 2010, 28 – 31.
  • [3] Vijay G., Shashikant L., An Improved Lane Departure Method for Advanced Driver Assistance System, International Conference on Computing, Communication and Applications (ICCCA), 2012, 1 - 5
  • [4] McCall J., Trivedi M., Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation, IEEE Transactions on Intelligent Transportation Systems, 7(2006), 20-37.
  • [5] Hussain A., Hannan M.A., Mohamed A., Sanusi H., Ihsan K.A.M., Vehicle crash analysis for airbag deployment decision, International Journal of Automotive Technology, 7(2006), 179-185.
  • [6] Azali S., Jason T., Mohd H., Ahmad H., Jumat, S., Fast Lane Detection with Randomized Hough Transform, International Symposium on Information Technology, 2008, pp.1-5.
  • [7] Stephan S., Sarath K., Alen A., Gamini D., Robust lane detection in urban environments, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007, pp.123-128.
  • [8] Hoffmann C., Fusing multiple 2D visual features for vehicle detection, IEEE conference in Intelligent Vehicles Symposium, 2006, pp. 406-411.
  • [9] Jung C.R., Kelber C.R., Lane following and lane departure using a linear-parabolic model, Image and Vision Computing, 23(2005), 1192-1202.
  • [10] Chiu K.Y., Lin S.F., Lane detection using color-based segmentation, in Proc. IEEE conference in Intell. Veh. Symp., 2005, pp.706–711.
  • [11] Gangyi J., Yanhua C., Mei Y., Z. Yi, Approach to lane departure detection, In Proc. IEEE 5th ICSP, 2000, pp.971-974.
  • [12] Kwangsoo K., Dong-il C., Medanic J.V., Lane assignment using a genetic algorithm in the automated highway systems, IEEE Intelligent Transportation Systems, 2005, pp.540-545.
  • [13] Hall R.W., Caliskan C., Design and Evaluation of an Automated Highway System with Optimized Lane Assignment, Trans. Rev.– part C, 7(1999), 1-15.
  • [14] McCall J.C., Wipf D.P., Trivedi M.M., Rao B.D., Lane change intent analysis using robust operators and sparse Bayesian learning, IEEE Trans. Intell. Transp. Syst., 8(2007), 431-440.
  • [15] Kato S., Tsugawa S., Evaluation of Information Transmission over Inter-Vehicle Communication with Simulation Studies, The IEEE 5’th International Conference on Intelligent Transportation Systems, 2002, pp.324-329.
  • [16] Briesemeister L., Schafers L., Hommel G., Disseminating Messages among Highly Mobile Hosts based on Inter-Vehicle Communication, 2000, pp.522-527.
  • [17] Javadi M.S., Hannan M.A., Samad S.A., Hussain A., A robust vision-based lane boundaries detection approach for intelligent vehicles, Information Technology Journal, 11(2012), 1184-1192.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6c71687f-848c-4468-b57c-d89d5bb326ce
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.