Road Lane Landmark Extraction: a State-of-the-art Review

• Asier Izquierdo ^[2] ; Jose Manuel Lopez-Guede ^{[1] [1]} ; Manuel Graña ^{[1] [1]}
  1. [1] Universidad del País Vasco/Euskal Herriko Unibertsitatea

     Universidad del País Vasco/Euskal Herriko Unibertsitatea

     Leioa, España

     
  2. [2] Airestudio Geoinformation Technologies Scoop, Albert Einstein Kalea, 44, E6, Oficina 8 (01510 Vitoria-Gasteiz)
• Localización: Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings / coord. por Hilde Pérez García, Lidia Sánchez González, Manuel Castejón Limas, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, 2019, ISBN 978-3-030-29858-6, págs. 625-635
• Idioma: inglés
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• Resumen

  • In this paper we present a state-of-the-art review about road lane landmark extraction. Automatic lane landmark extraction has been studied during the last decade for different practical applications. The purpose of this paper is to gather and discuss methodologies of road lane landmark extraction based on signals from different sensors in order to automate the extraction of horizontal road surface lane signs and get an accurate map of road lane landmarks. Specific algorithms for each kind of sensors are analyzed, describing their basic ideas, and discussing their pros and cons.