Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last 30 years, enabling large-scale real-world applic...

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Veröffentlicht in:	IEEE transactions on robotics 2016-12, Vol.32 (6), p.1309-1332
Hauptverfasser:	Cadena, Cesar, Carlone, Luca, Carrillo, Henry, Latif, Yasir, Scaramuzza, Davide, Neira, Jose, Reid, Ian, Leonard, John J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Factor graphs Graph theory Localization Mapping maximum a posteriori estimation perception Robotics Robots Robustness Semantics sensing Service robots simultaneous localization and mapping (SLAM) Simultaneous location and mapping
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