author = "Paula, Maur{\'{\i}}cio Braga de and Jung, Claudio Rosito",
          affiliation = "{Institute of Informatics - Federal University of Rio Grande do 
                         Sul and Mathematics and Statistics Department - Federal University 
                         of Pelotas} and {Institute of Informatics - Federal University of 
                         Rio Grande do Sul}",
                title = "Real-time detection and classification of road lane markings",
            booktitle = "Proceedings...",
                 year = "2013",
               editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva, 
         organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "lane detection, lane markings, onboard vehicular cameras, driver 
                         assistance system.",
             abstract = "This paper presents a method for detection and recognition of road 
                         lane markings using an uncalibrated onboard camera. Initially, 
                         lane boundaries are detected based on a linear- parabolic model. 
                         Then, we build a simple model to represent pixels related to the 
                         pavement, and explore this model to estimate pixels related to 
                         lane markings. A set of features is computed based on the detected 
                         lane markings, and a cascade of binary classifiers is adopted to 
                         distinguish five types of markings: dashed, dashed-solid, 
                         solid-dashed, single-solid and double-solid. Experimental results 
                         show that the proposed method presents good classification results 
                         under a variety of situations (shadows, varying illumination, 
  conference-location = "Arequipa, Peru",
      conference-year = "Aug. 5-8, 2013",
             language = "en",
           targetfile = "114712_camera_ready-PID2846723.pdf",
        urlaccessdate = "2020, Nov. 28"