Simultaneous Localization and Mapping
Simultaneous Localization and Mapping (SLAM) is the problem of enabling a mobile robot to build a map of its environment while simultaneously determining its own location within that map using noisy sensor measurements. Formulated by Durrant-Whyte and Bailey in 2006, SLAM is fundamental to autonomous robotics, enabling robots to navigate and explore unknown environments without prior maps or external positioning systems.
Kilderegister
Siteringer kopiert ordrett fra metodens kilderegister. Ingen påstandsnivåverifisering er underforstått fra dem.
- Durrant-Whyte, H., & Bailey, T. (2006). Simultaneous localization and mapping (SLAM): Part I. IEEE Robotics & Automation Magazine, 13(2), 99-110. · DOI 10.1109/MRA.2006.1638022
- Thrun, S., Burgard, W., & Fox, D. (2005). Probabilistic Robotics. MIT Press. · URL
- Dellaert, F., & Kaess, M. (2012). Square root SAM: Simultaneous localization and mapping via square root factor graphs. International Journal of Robotics Research, 25(12), 1181-1203. · URL
Kuraterte påstander
Påstander lagret i bevishovedboken, hver med sin egen vurdering.
Denne visningen finner ikke opp en påstandsvurdering når hovedboken ikke har noen.
Relaterte metoder
Generert fra metodegrafen og vist som maskinforslåtte relasjoner – ingen bevispåstand er underforstått.