The SLAM problem: a survey

By Josep Aulinas, Yvan R. Petillot, Joaquim Salvi, Xavier Lladó. International Conference of the Catalan Association for Artificial Intelligence, 2008

315 citations recorded by the source corpus.

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A Survey on Structure from Motion (2017, methodology): “For alternative methods and further discussion on SLAM, we refer the reader to other sources, e.g., [6, 18, 87], and the references therein.”
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving (2017, unknown): “In [85], a brief survey of the most common filterbased estimation techniques is given with a list of the pros and cons of each main paradigm.”
Visual SLAM algorithms: a survey from 2010 to 2016 (2017, background): “In TrakMark, image sequences are divided into three scenarios: virtualized environments, indoor environments, and outdoor environments([5]).”
A survey on vision-based UAV navigation (2018, methodology): “autonomous and semi-autonomous fields, and is becoming more and more popular with the rapid development of visual simultaneous localization and mapping (visual SLAM) techniques (Strasdat, Montiel, and Davison 2012; Aulinas et al. 2008).”
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age (2016, unknown): “The paper summarizes the outcome of the workshop “The Problem of Mobile Sensors: Setting future [13, 86] 2008 Filtering approaches Aulinas et al. [12] Fig.”