One of the main challenges in robotics is navigating autonomously through large, unknown, and unstructured environments. Simultaneous localization and mapping (SLAM) is currently regarded as a viable solution for this problem. As the traditional metric approach to SLAM is experiencing computational difficulties when exploring large areas, increasing attention is being paid to topological SLAM, which is bound to provide sufficiently accurate location estimates, while being significantly less computationally demanding. This paper intends to provide an introductory overview of the most prominent techniques that have been applied to topological SLAM in terms of feature detection, map matching, and map fusion.
Palabras clave: Mobile robots; SLAM; Topological modeling of robots; Feature detection; Robot localization
Robótica. Volumen: 32 Numero: 5 Páginas: 803-821
Índice de impacto JCR y cuartil Scopus: JCR impact factor: 0.688 (2014); 1.184 (2018).
Referencia DOI: 10.1017/S0263574713001070
Publicado en papel: Agosto 2014. Publicado on-line: Diciembre 2013.
J. Boal, A. Sánchez, A. Arranz. Topological simultaneous localization and mapping: a survey. Robótica. vol. 32, no. 5, pp. 803-821, Agosto 2014. [Online: Diciembre 2013]