Abstract
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.
Cite
CITATION STYLE
Izquierdo, A., Lopez-Guede, J. M., & Graña, M. (2019). Road Lane Landmark Extraction: A State-of-the-art Review. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11734 LNAI, pp. 625–635). Springer Verlag. https://doi.org/10.1007/978-3-030-29859-3_53
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
